
Case Justification
- 36 installs
- 75 repo stars
- Updated January 30, 2026
- nealcaren/social-data-analysis
Helps with ai & agent building tasks.
About
case-justification is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- case-justification
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Case Justification by the numbers
- 36 all-time installs (skills.sh)
- +1 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #8,638 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
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| Installs | 36 |
|---|---|
| repo stars | ★ 75 |
| Last updated | January 30, 2026 |
| Repository | nealcaren/social-data-analysis ↗ |
What it does
Helps with ai & agent building tasks.
Files
Case Justification Writer
You help sociologists write case justification sections (also called "Case Background," "Research Setting," or "The [Site Name] Context") for interview-based journal articles. Your guidance is grounded in systematic analysis of 32 articles from Social Problems and Social Forces.
When to Use This Skill
Use this skill when users want to:
- Draft a new case justification section from scratch
- Restructure an existing section that's too long, too short, or poorly matched to the study type
- Determine the appropriate level of contextualization for their case
- Ensure the section matches genre conventions for interview-based research
- Position the case section correctly relative to the theory section
This skill assumes users have selected their research site and can describe its key features. The case justification section contextualizes the empirical setting for readers.
Connection to Other Skills
| Skill | Purpose | Key Output |
|---|---|---|
| interview-analyst | Analyze qualitative data | Coding structure, findings |
| interview-writeup | Write findings sections | Draft findings |
| methods-writer | Write methods sections | Draft methods |
| case-justification | Write case/setting context | Draft case justification |
| interview-bookends | Write intros/conclusions | Draft bookends |
This skill handles the case background that typically appears between the theory section and methods section.
Core Principles (from Genre Analysis)
Based on systematic analysis of 32 case justification sections:
1. Position Determines Function
- 88% position AFTER theory - the case illustrates or tests theoretical claims
- 12% position BEFORE theory (Policy-Driven only) - the case motivates the theoretical framework
- Position is not a stylistic choice; it signals the relationship between case and theory
2. Phenomenon-Site-Link Openings Dominate (50%)
Half of all case justification sections open by connecting the phenomenon to the site:
"With the formalization of a labor-export policy in the mid-1970s, the Indonesian government entered the labor brokerage industry."
Other openings: Geographic-Introduction (19%), Institutional-Description (16%), Research-Setting (9%), Historical-Periodization (6%)
3. Single Subsection Is the Norm (75%)
Most case justification sections use exactly one subsection heading. Multiple subsections signal Deep Historical (episodes) or Comparative (sites) clusters.
4. Implicit Transitions Dominate (66%)
Two-thirds of sections end without explicit transition language. The structural break to Methods carries readers forward. Explicit transitions are rare except in Comparative sections with integrated methods content.
5. Tables Signal Comparative Treatment
71% of Comparative sections include tables; all other clusters rarely or never use tables. If you have a table, you probably have a Comparative section.
Key Statistics (Benchmarks)
Corpus Overview
| Metric | Value |
|---|---|
| Total articles | 32 |
| Median word count | 765 |
| Range | 264-3,210 |
| Single subsection | 75% |
| Position after theory | 88% |
Cluster Distribution
| Cluster | N | % | Word Target |
|---|---|---|---|
| Standard Context | 11 | 34% | 700-1,000 |
| Comparative | 7 | 22% | 1,000-1,500 |
| Minimal Context | 5 | 16% | 300-500 |
| Deep Historical | 5 | 16% | 1,500-2,500 |
| Policy-Driven | 4 | 13% | 650-900 |
Opening Move Distribution
| Opening Type | Prevalence |
|---|---|
| Phenomenon-Site-Link | 50% |
| Geographic-Introduction | 19% |
| Institutional-Description | 16% |
| Research-Setting | 9% |
| Historical-Periodization | 6% |
Justification Strategy Distribution
| Strategy | Prevalence |
|---|---|
| Intrinsic-Interest | 38% |
| Theoretical-Fit | 22% |
| Empirical-Extremity | 16% |
| Variation-Leverage | 16% |
| Access-Driven | 9% |
The Five Clusters
Case justification sections cluster into five recognizable styles:
| Cluster | Target Words | Prevalence | Key Feature | When to Use |
|---|---|---|---|---|
| Minimal | 300-500 | 16% | Brief, efficient | Well-known site, mixed-methods |
| Standard | 700-1,000 | 34% | Balanced context | DEFAULT for single-site studies |
| Deep Historical | 1,500-2,500 | 16% | Chronological narrative | Movement studies, periodization |
| Comparative | 1,000-1,500 | 22% | Parallel sites, tables | Multi-site comparisons |
| Policy-Driven | 650-900 | 13% | BEFORE theory | Policy IS the phenomenon |
Default: Standard Context. Choose other clusters only when specific triggers apply.
See clusters/ directory for detailed profiles with benchmarks, signature moves, and templates.
Workflow Phases
Phase 0: Assessment
Goal: Gather study information and select the appropriate cluster.
Process:
- Collect case details (site, population, context, justification)
- Apply decision tree to identify cluster
- Confirm cluster selection with user
- Note any special considerations
Guide: phases/phase0-assessment.md
Pause: User confirms cluster selection before drafting.
---
Phase 1: Drafting
Goal: Write the complete case justification section following cluster template.
Process:
- Follow cluster-specific structure and word allocation
- Include required components for the cluster
- Use appropriate rhetorical patterns from corpus
- Position correctly (before or after theory)
Guides:
phases/phase1-drafting.md(main workflow)clusters/(cluster-specific templates)techniques/opening-moves.md(how to start)techniques/justification-strategies.md(how to justify)techniques/transitions.md(how to end)
Output: Complete case justification section draft.
Pause: User reviews draft.
---
Phase 2: Revision
Goal: Calibrate against benchmarks and polish.
Process:
- Verify word count against cluster target
- Check required components are present
- Assess transition type
- Polish prose
- Final quality check
Guide: phases/phase2-revision.md
Output: Revised case justification section with quality memo.
---
Cluster Decision Tree
To identify which cluster fits your study:
START
|
v
[Does your case context need to PRECEDE your theoretical framework?]
(Is the policy/institutional context itself the phenomenon you will theorize about?)
|
+-- YES --> POLICY-DRIVEN CLUSTER
| Position: BEFORE theory
| Target: 650-900 words
|
+-- NO (or unsure) --> Continue
|
v
[Do you have MULTIPLE RESEARCH SITES that you will compare?]
(Two or more locations, organizations, or cases studied in parallel?)
|
+-- YES --> COMPARATIVE CLUSTER
| Parallel structure, tables
| Target: 1,000-1,500 words
|
+-- NO (single site) --> Continue
|
v
[Is HISTORICAL DEVELOPMENT central to your case?]
(Must you trace multiple episodes, periods, or phases?)
|
+-- YES --> DEEP HISTORICAL CLUSTER
| Chronological organization
| Target: 1,500-2,500 words
|
+-- NO --> Continue
|
v
[Is your case WELL-KNOWN and requires MINIMAL introduction?]
(Famous site, mixed-methods design, phenomenon over site, space constraints?)
|
+-- YES --> MINIMAL CONTEXT CLUSTER
| Brief, efficient
| Target: 300-500 words
|
+-- NO --> STANDARD CONTEXT CLUSTER (DEFAULT)
Balanced single-site context
Target: 700-1,000 wordsCluster Profiles
Reference these guides for cluster-specific writing:
| Guide | Cluster | Triggers |
|---|---|---|
clusters/minimal.md | Minimal Context (16%) | Well-known site, mixed-methods, space constraints |
clusters/standard.md | Standard Context (34%) | DEFAULT - typical single-site study |
clusters/historical.md | Deep Historical (16%) | Movement study, chronological development central |
clusters/comparative.md | Comparative (22%) | Multiple sites, parallel data collection |
clusters/policy.md | Policy-Driven (13%) | Policy IS the phenomenon, BEFORE theory |
Technique Guides
| Guide | Purpose |
|---|---|
techniques/opening-moves.md | Five opening types with examples |
techniques/justification-strategies.md | Five justification strategies with examples |
techniques/transitions.md | Transition patterns by cluster |
Component Prevalence by Cluster
| Component | Minimal | Standard | Historical | Comparative | Policy |
|---|---|---|---|---|---|
| Geographic Context | 40% | 82% | 80% | 86% | 75% |
| Historical Background | 40% | 64% | 100% | 57% | 75% |
| Policy/Legal Context | 20% | 64% | 80% | 43% | 100% |
| Demographic Profile | 0% | 45% | 40% | 71% | 50% |
| Institutional Description | 20% | 45% | 60% | 71% | 75% |
| Sampling Rationale | 60% | 36% | 20% | 57% | 0% |
Prohibited Moves
Across All Clusters
- Opening with "In this section, I will describe..."
- Using "As mentioned above..." or similar metadiscourse
- Using "My research setting is..." (dive into substance instead)
- Over-signposting structure
Cluster-Specific Prohibitions
| Cluster | Never Do |
|---|---|
| Minimal | Include tables, trace historical development, exceed 500 words |
| Standard | Use multiple subsections, position before theory |
| Deep Historical | Brief treatment, skip chronological arc, position before theory |
| Comparative | Treat sites as undifferentiated, omit variation-leverage statement |
| Policy-Driven | Position after theory, treat policy as background |
Model Recommendations
| Phase | Model | Rationale |
|---|---|---|
| Phase 0: Assessment | Sonnet | Decision tree application |
| Phase 1: Drafting | Sonnet | Following templates, prose generation |
| Phase 2: Revision | Sonnet | Calibration checking, polish |
Starting the Process
When the user is ready to begin:
1. Ask about the case:
"What is your research site? Please describe the location, population, and key contextual features that matter for your study."
2. Ask about study characteristics:
"Is this a single site or multiple sites? Is historical development central to your case? Does the policy/institutional context need to precede your theory section? Are there space constraints?"
3. Identify cluster:
Apply the decision tree and recommend a cluster with rationale.
4. Confirm and proceed to Phase 0 to formalize the assessment.
Key Reminders
- Standard is the default: Most single-site interview studies fit Standard Context. Choose other clusters only when triggers apply.
- Position matters: Policy-Driven is the ONLY cluster positioned BEFORE theory. All others go AFTER.
- Tables signal comparison: If you're including a table, you're probably doing Comparative.
- Implicit transitions are normal: 66% of sections just end; the structural break carries readers forward.
- Word counts matter: Reviewers notice sections that are too thin or bloated. Match your cluster.
- Phenomenon-Site-Link is versatile: This opening works across all clusters (50% prevalence).
Cluster Profile: Comparative
Quick Reference
| Attribute | Value |
|---|---|
| Cluster Name | Comparative |
| N in corpus | 7 (22%) |
| Word Count | 1,000-1,500 words |
| Paragraphs | 5-10 |
| Subsections | 2+ (typically one per site) |
| Position | AFTER theory |
| Table | Usually (71%) |
---
When to Use This Cluster
Primary Triggers
Use Comparative when ANY of the following apply:
1. Multiple research sites: You studied two or more distinct locations, organizations, or cases.
2. Matched pair design: Your study leverages similarities between sites to isolate specific differences.
3. Most-different design: Your study selects maximally different cases to test theoretical scope.
4. Variation provides leverage: The differences between your sites enable you to isolate causal mechanisms or test theoretical propositions.
5. Parallel data collection: You gathered comparable data from multiple sites that will be analyzed together.
Secondary Indicators
- You have demographic or institutional data to compare across sites
- A table would effectively communicate site differences
- You need to explain what comparing sites enables analytically
- Your findings will involve cross-site comparisons
---
Benchmarks
| Metric | Target | Range | Notes |
|---|---|---|---|
| Word count | 1,000-1,500 | 750-1,800 | Depends on number of sites |
| Paragraphs | 6 | 5-10 | Median: 6 |
| Citations | 12 | 8-18 | Density: 1.1 per 100 words |
| Subsections | 2+ | 2-3 | Typically one per site + framing |
| Components | 5-7 | 5-7 | High component count |
Component Prevalence
| Component | Frequency |
|---|---|
| Geographic Context | 86% |
| Demographic Profile | 71% |
| Institutional Description | 71% |
| Historical Background | 57% |
| Sampling Rationale | 57% |
| Policy/Legal Context | 43% |
| Access Story | 0% |
| Limitation Acknowledgment | 0% |
---
Required Components
1. Parallel site descriptions: Describe each site with comparable information 2. Comparison table (strongly recommended - 71% include): Demographic, institutional, or characteristic comparisons 3. Variation-leverage justification: Explicitly state what comparing sites enables 4. Site selection rationale: Why these particular sites?
Optional Components
- Historical background (for one or both sites)
- Policy context
- Methods integration (sampling at each site)
---
Signature Moves
Opening Patterns
Macro-Context then Sites (common):
"In 2011, the District of Columbia lost its minority-majority status."
Research Setting Statement:
"The first research site was an affluent suburban county in the South that housed two school districts."
Study Framing:
"Situating our research in Atlanta allows us to compare two distinct Latino groups in a new destination with a short history of migration."
Variation-Leverage Justification (ESSENTIAL)
This is the signature move of Comparative sections. You MUST explain what comparing enables:
Explicit Comparative Framing:
"By controlling for stroll type, we believe the comparison will be richer and will minimize the likelihood that other confounding variables... could serve as an alternative explanation for our findings instead of extent of gentrification."
What Variation Enables:
"Unlike King, Chavez does not require these courses for graduation and does not employ college professors to teach them."
"Comparatively, SBR runs through Ward 7, a stroll that is also close to public transportation and a major highway, but one that has experienced almost no development or neighborhood-level change during the same period of time."
Parallel Structure Phrases
Site A Description:
"City Vista, in Ward 5, is located near downtown, close to cultural amenities, public transit, and main highways. Until the early 2000s, the neighborhood was mostly occupied by used car lots and abandoned industrial warehouses..."
Site B Description (parallel):
"Similarly, the census tracts that comprise the SBR neighborhood are changing much more slowly than the rest of the city, presenting a sharp contrast to City Vista's rapid transformation."
Table Introduction
"See Table 1."
"This move generates a dramatic change in families' residential contexts. Before moving with the program, families in this sample lived primarily in high-poverty and hyper-segregated Baltimore City neighborhoods that were, on average, 30 percent poor and 78 percent Black. After moving with the BHMP, families' neighborhoods were 9 percent poor and 23 percent Black (table 1)."
Demographic Comparison Language
"Compared to the other schools in this county, the schools in the small city were more racially and socioeconomically diverse, with roughly 15 percent African American students, 25 percent Hispanic students, and 40 percent of these students receiving free or reduced-price lunch."
Transition Patterns
Integrated (43% - signature for Comparative): Fold methods content into site descriptions:
"Interviews lasted 45 minutes on average. All interviews occurred in the SROs' assigned schools throughout the regular school day."
Implicit (43%): Section ends; methods follows.
---
Prohibited Moves
Comparative sections should AVOID:
1. Treating sites as undifferentiated - Each site needs distinct description 2. Asymmetric treatment - Sites should receive comparable coverage 3. Missing the leverage statement - You MUST explain what comparison enables 4. Positioning before theory - That signals Policy-Driven 5. Omitting tables when data exists - Tables are the signature visual element
---
Template Structure
Two-Site Comparative Template
## Site Selection / Overview
Paragraph 1: Macro-context for the comparison
- What connects the sites
- Why this comparison makes sense
Paragraph 2: Site selection rationale
- How sites were chosen
- What variation enables
## [Site A Name]
Paragraph 3: Geographic/institutional context for Site A
- Location
- Key characteristics
Paragraph 4: Demographics and/or history of Site A
[If methods integrated: Paragraph on data collection at Site A]
## [Site B Name]
Paragraph 5: Geographic/institutional context for Site B (parallel to Site A)
- Location
- Key characteristics (in parallel)
Paragraph 6: Demographics and/or history of Site B
[If methods integrated: Paragraph on data collection at Site B]
## [Optional: Thematic Subsection]
Paragraph 7: Additional context relevant to both sites
TABLE: Comparison of Site Characteristics
Paragraph 8: Variation-leverage statement (if not stated earlier)
- What comparing these sites enables
- [Transition to methods/analysis]Three-Site Comparative Template
## Overview
Paragraph 1: Macro-context and site selection
## [Site A]
Paragraphs 2-3: Site A description
## [Site B]
Paragraphs 4-5: Site B description
## [Site C]
Paragraphs 6-7: Site C description
TABLE: Comparison across sites
Paragraph 8: What variation enables---
Table Design Guidelines
What Tables Should Compare
Based on corpus examples, Comparative tables typically include:
Demographic characteristics:
- Racial/ethnic composition
- Poverty rates
- Population change over time
Institutional characteristics:
- Program features (e.g., gateway requirements)
- Policy differences
- Organizational structure
Outcome-relevant variables:
- Pre/post comparisons
- Site-specific metrics
Table Format
| Characteristic | Site A | Site B | [Site C] |
|---|---|---|---|
| Demographic 1 | Value | Value | Value |
| Demographic 2 | Value | Value | Value |
| Institutional 1 | Value | Value | Value |
| ... | ... | ... | ... |
---
Exemplar Articles
Primary Exemplar: DC Sex Work Strolls
Why exemplar: Clearest comparative template. Opens with DC's gentrification context, then describes two strolls (City Vista and State Border Road) in parallel subsections. Table compares demographic changes across both neighborhoods. Explicitly frames analytical leverage.
Key features:
- 3 subsections (Site Selection, The Strolls, Sex Work in DC)
- ~1,500 words
- 7/8 components present
- Detailed comparison table
- Variation-Leverage justification
- Parallel structure
Opening: "In 2011, the District of Columbia lost its minority-majority status."
Structure: 1. Framing (DC gentrification context) 2. Site Selection rationale 3. [Subsection: The Strolls]
- City Vista description
- SBR description (parallel)
4. [Table 1: Demographic Changes] 5. [Subsection: Sex Work in Washington, DC] 6. Variation-leverage statement
Secondary Exemplar: School Resource Officers
Why exemplar: Two-district comparison with explicit demographic contrast. Methods integrated into site descriptions.
Key features:
- 2 subsections (Suburban-White District, Urban-Diverse District)
- Research-Setting opening
- No table (29% of Comparative lack tables)
- Methods integrated (interview details per site)
- Variation-Leverage justification
Opening: "The first research site was an affluent suburban county in the South that housed two school districts."
Tertiary Exemplar: Baltimore Housing Mobility
Why exemplar: Pre/post comparison with tables showing neighborhood and school changes.
Key features:
- Single site but pre/post comparison
- 2 tables (neighborhood characteristics, school characteristics)
- Institutional-Description opening (lawsuit context)
- Policy context (court settlement, voucher program)
Opening: "A class of plaintiffs in Baltimore, MD, sued the US Department of Housing and Urban Development and the Housing Authority of Baltimore City in 1995..."
---
Calibration Checklist
Before submitting a Comparative section, verify:
- [ ] Word count is 1,000-1,500 words
- [ ] 5-10 paragraphs present
- [ ] At least 2 subsections (one per major site or theme)
- [ ] Parallel structure for site descriptions
- [ ] Comparison table included (strongly recommended)
- [ ] Variation-leverage statement present (REQUIRED)
- [ ] Site selection rationale clear
- [ ] Positioned after theory section
- [ ] Each site receives comparable coverage
If your section lacks a table:
Consider adding one. 71% of Comparative sections include tables. Tables are the visual signature of this cluster.
If your sites are not receiving parallel treatment:
Ensure Site B description covers the same dimensions as Site A. Readers should be able to compare.
If you have a single site:
You probably need Standard Context, not Comparative. Exception: pre/post comparisons within a single program can use Comparative structure.
If variation-leverage statement is missing:
Add it. The statement "By comparing X and Y, we can examine Z..." is essential to Comparative.
Cluster Profile: Deep Historical
Quick Reference
| Attribute | Value |
|---|---|
| Cluster Name | Deep Historical |
| N in corpus | 5 (16%) |
| Word Count | 1,500-2,500 words |
| Paragraphs | 8-16 |
| Subsections | 2+ |
| Position | AFTER theory |
| Table | Sometimes (40%) |
---
When to Use This Cluster
Primary Triggers
Use Deep Historical when ANY of the following apply:
1. Social movement study: You are tracking protest cycles, contentious episodes, or movement development over time.
2. Multiple episodes matter: Your case involves distinct events, periods, or phases that must be traced chronologically.
3. "How we got here" is analytical: The historical sequence of events is not merely background but is integral to understanding your findings.
4. Periodization is necessary: Your case requires organizing context by time periods (e.g., "the 1990s," "the Kefaya period," "post-2011").
5. Deep context required: Readers need extensive background to understand the contemporary phenomenon you study.
Secondary Indicators
- You have 4+ paragraphs of historical content
- Your case involves named episodes or protest waves
- You use dates and temporal markers frequently
- You cite scholarly work on the site's history
- Interview quotes appear within the case section itself
---
Benchmarks
| Metric | Target | Range | Notes |
|---|---|---|---|
| Word count | 1,500-2,500 | 1,200-3,210 | Can exceed 2,500 if warranted |
| Paragraphs | 10 | 8-16 | Median: 10 |
| Citations | 23 | 15-35 | Density: 1.5 per 100 words |
| Subsections | 2+ | 2-4 | Organized by period/episode |
| Components | 4-6 | 4-6 | Comprehensive |
Component Prevalence
| Component | Frequency |
|---|---|
| Historical Background | 100% |
| Geographic Context | 80% |
| Policy/Legal Context | 80% |
| Institutional Description | 60% |
| Demographic Profile | 40% |
| Sampling Rationale | 20% |
| Access Story | 0% |
| Limitation Acknowledgment | 0% |
---
Required Components
1. Chronological narrative: Trace development through multiple periods/episodes 2. Named episodes: Identify and label distinct phases or events 3. Multiple subsections: Organize by period, episode, or theme (minimum 2) 4. Scholarly positioning: Cite prior research on the case/site
Optional Components
- Comparison tables (40% include)
- Interview quotes embedded in case section
- Geographic context
- Policy/legal backdrop
---
Signature Moves
Opening Patterns
Historical Periodization (40%):
"A latecomer in the contemporary women's movement, the U.S. anti-domestic violence movement or the 'battered women's movement' began in 1973..."
"The year 2011 was an important moment in the political history of contemporary Russia, the year of Parliamentary elections that sparked mass protests in big Russian cities, the largest in two decades."
Phenomenon-Site Link with Historical Framing (60%):
"This section lays the groundwork for the subsequent analysis of the role of relational networks within the broader Cairo-based political opposition during the January 25 Uprising."
"The definitively populist Yellow Vest movement explicitly rejects leadership, unions, parties, nationalism, right-wing or left-wing identifications, xenophobia, and business interests."
Dating the Origins
"While several accounts seeking to explain the Egyptian Uprising of 2011 begin with the killing of Khaled Said... it seems more appropriate to date the origins of this episode of collective contestation to the beginning of the new millennium."
Episode Transition Markers
"As early as 2006, the industrial town of Mahalla El-Kubra had been the site for collective contestation..."
"In late 2009, yet another actor appeared on the scene of the Cairo-based political opposition..."
"Two years later, in early 2008, Mahalla would again become a focal point for protests."
Embedded Interview Quotes
Deep Historical sections often embed participant voices within the case narrative:
"The Palestinian Intifada... gathered sort of loosely connected networks of activists of sympathizers, Leftists like myself, Socialists, and Nationalists, Nasserists, Liberals and Islamists." (Interview #1)
Wrap-Up/Summary Phrases
"The vignettes presented in this section provided a broad overview of four major episodes of collective contestation involving the Cairo-based political opposition during the decade preceding the 2011 uprising, showing how relational networks... emerged and evolved over time."
---
Prohibited Moves
Deep Historical sections should AVOID:
1. Brief treatment - Under 1,200 words is too short for this cluster 2. Single paragraph for history - Chronology requires multiple paragraphs 3. Position before theory - That signals Policy-Driven 4. Skipping chronological development - The arc matters 5. Non-narrative structure - Deep Historical tells a story
---
Template Structure
Standard Deep Historical Template (10-12 paragraphs)
## [Historical Case Title]
Paragraph 1: Framing - what this section will accomplish
- Set up the historical scope
- Name the phenomenon and time period
- Preview the arc
Paragraph 2: Dating the origins
- Where to start the story
- Why this starting point
Paragraphs 3-5: EPISODE 1
- What happened
- Who was involved
- Consequences and connections
## [Subsection: Episode 2 Name]
Paragraphs 6-8: EPISODE 2
- Context for this episode
- Events and actors
- How it connects to Episode 1
Paragraphs 9-10: EPISODE 3 (if applicable)
- Similar structure
Paragraph 11-12: Summary and transition
- What the historical arc reveals
- How it connects to the analysis
- [Implicit transition to Methods or Analysis]Variant: Data Source Organization
## [Movement/Case Name]
Paragraph 1-3: Movement overview and framing
## [Data Source 1: e.g., The Petition]
Paragraphs 4-6: Analysis of this source
- What it contains
- What it reveals
## [Data Source 2: e.g., The Grand Debate]
Paragraphs 7-9: Analysis of this source
## [Data Source 3: e.g., The Counter-Debate]
Paragraphs 10-12: Analysis of this source
Summary paragraph---
Exemplar Articles
Primary Exemplar: Egyptian Uprising 2011
Why exemplar: At 3,210 words (corpus maximum), this section traces the development of relational networks in Cairo's political opposition through four protest episodes: Palestinian Intifada solidarity (2000), anti-Iraq war mobilization (2003), Kefaya movement (2004-05), and April 6 movement (2008).
Key features:
- 16 paragraphs
- 3,210 words
- 2 subsections
- Phenomenon-Site-Link opening with historical framing
- Interview quotes embedded
- Scholarly-Positioning citations
- Chronological organization across a decade
Opening: "This section lays the groundwork for the subsequent analysis of the role of relational networks within the broader Cairo-based political opposition during the January 25 Uprising."
Named Episodes: 1. Palestinian Intifada solidarity (2000) 2. Anti-Iraq war mobilization (2003) 3. Kefaya movement (2004-05) 4. April 6 movement (2008)
Secondary Exemplar: Yellow Vest Movement
Why exemplar: Multi-source historical case tracing a movement's genesis through petition, grand debate, and counter-debate sources.
Key features:
- 13 paragraphs
- ~2,726 words
- 4 subsections (Movement, Petition, Grand Debat, Vrai Debat)
- Empirical-Extremity justification ("purer" popular movement)
- Multiple data sources analyzed within case section
Opening: "The definitively populist Yellow Vest movement explicitly rejects leadership, unions, parties, nationalism, right-wing or left-wing identifications, xenophobia, and business interests."
Tertiary Exemplar: Domestic Violence Movement History
Why exemplar: Traces three strategies of the feminist anti-domestic violence movement from the 1970s.
Key features:
- Table comparing strategies across sites
- Historical-Periodization opening
- Empirical-Extremity justification (California/Minnesota as "first")
- Chronological organization
Opening: "A latecomer in the contemporary women's movement, the U.S. anti-domestic violence movement or the 'battered women's movement' began in 1973..."
---
Calibration Checklist
Before submitting a Deep Historical section, verify:
- [ ] Word count is 1,500-2,500 words (may exceed if warranted)
- [ ] 8-16 paragraphs present
- [ ] At least 2 subsections
- [ ] Chronological organization is clear
- [ ] Named episodes or periods are identified
- [ ] Historical development is traced (not just mentioned)
- [ ] Scholarly citations on the site/case included
- [ ] Positioned after theory section
- [ ] Summary/wrap-up paragraph present
If your section is under 1,200 words:
You may not need Deep Historical. Consider:
- Standard Context if historical background is just context
- Whether you can expand with additional episodes
If your section has no clear episodes:
Deep Historical requires discrete events, periods, or phases. If your case does not have these, consider:
- Standard Context with historical background
- Policy-Driven if policy evolution is the focus
If you have multiple sites being compared:
You may need Comparative with historical elements, not pure Deep Historical. Consider hybrid approach.
---
Special Considerations
Interview Quotes in Case Section
Deep Historical is the only cluster where interview quotes commonly appear within the case justification itself (not just in Methods or Findings). Use quotes to:
- Illustrate episodes from participant perspectives
- Show how activists understood key events
- Provide "you are there" texture to historical narrative
Tables in Deep Historical
About 40% of Deep Historical sections include tables. Use tables for:
- Comparing strategies or approaches across periods
- Summarizing episode characteristics
- Comparing sites within a movement (if applicable)
Length Flexibility
Deep Historical is the most length-flexible cluster. The corpus maximum (3,210 words) belongs to this cluster. If your case genuinely requires tracing multiple episodes across an extended time period, longer sections are acceptable.
Cluster Profile: Minimal Context
Quick Reference
| Attribute | Value |
|---|---|
| Cluster Name | Minimal Context |
| N in corpus | 5 (16%) |
| Word Count | 300-500 words |
| Paragraphs | 1-3 |
| Subsections | 0-1 |
| Position | AFTER theory |
| Table | Never |
---
When to Use This Cluster
Primary Triggers
Use Minimal Context when ANY of the following apply:
1. Site is well-known: The case requires little introduction because readers are already familiar with it (e.g., major metropolitan areas, famous institutions, widely-studied phenomena).
2. Mixed-methods design: The qualitative component follows a quantitative analysis that has already established the case context.
3. Phenomenon over site: The theoretical or empirical phenomenon is more important than the specific site characteristics.
4. Space constraints: Article length limits require an efficient case justification.
5. Access-driven selection: The case was selected primarily due to data access, and extensive contextualization would misrepresent the case selection logic.
Secondary Indicators
- You can describe the essential case features in 2-3 paragraphs
- Historical development is not analytically relevant
- No site comparisons are needed
- Policy/institutional context is either absent or minimal
---
Benchmarks
| Metric | Target | Range | Notes |
|---|---|---|---|
| Word count | 300-500 | 264-427 | Corpus median: 352 |
| Paragraphs | 2 | 1-3 | Single paragraph acceptable |
| Citations | 3 | 2-5 | Low density: 0.7 per 100 words |
| Components | 2-3 | 1-3 | Focus on essentials |
Component Prevalence
| Component | Frequency |
|---|---|
| Sampling Rationale | 60% |
| Geographic Context | 40% |
| Historical Background | 40% |
| Access Story | 20% |
| Policy/Legal Context | 20% |
| Institutional Description | 20% |
| Demographic Profile | 0% |
---
Required Components
1. Site identification: Name and locate the case clearly 2. One or two key features: What makes this case relevant? 3. Transition to methods (implicit or data-preview)
Optional Components
- Brief historical note (1-2 sentences)
- Policy context (1-2 sentences)
- Access acknowledgment
- Quantitative prelude (if mixed-methods)
---
Signature Moves
Opening Patterns
Data/Study Introduction (most common for mixed-methods):
"The data we present here were collected as part of a study of police traffic stops and their effects on police-community relations."
Institutional Context:
"This network of colleges includes over 215,000 students, 21,000 faculty, and over two million living alumni."
Research Setting Statement:
"While others have interviewed young people about their gender beliefs and show the consequences of their beliefs for inequality, we sought to determine whether and why their beliefs might feasibly change."
Justification Patterns
Intrinsic Interest (brief):
"The study took place during a time of intensified frequency of deportations by the U.S. Department of Homeland Security in the Obama administration."
Access-Driven:
"Given this interest, we were fortunate to gain access to students in a sociology course about why the gender gap in leadership exists."
Quantitative Prelude:
"Through statistical analyses of these data, we did not find consistent patterns of racial disparities in who gets stopped citywide... However, we did find significant disparities in several post-stop outcomes."
Transition Patterns
Data-Preview (20%):
"While the focus of this paper is on the analysis of the interview data, some findings from the survey of staff will be included."
Implicit (60%): Section ends; methods section follows immediately.
---
Prohibited Moves
Minimal Context sections should NEVER:
1. Include tables - Tables signal Comparative treatment 2. Trace historical development - Chronological narratives belong in Deep Historical 3. Use multiple subsections - One subsection maximum 4. Exceed 500 words - If longer, reconsider Standard Context 5. Position before theory - Policy-Driven only 6. Elaborate policy context - Keep it brief or omit
---
Template Structure
Single-Paragraph Template (Ultra-Minimal)
[1 paragraph: Site identification + key feature + quantitative/access context + brief transition]Two-Paragraph Template (Standard Minimal)
Paragraph 1: Site identification and one key contextual feature
Paragraph 2: Additional context (timing, access, quantitative findings) + transitionThree-Paragraph Template (Extended Minimal)
Paragraph 1: Site identification and primary feature
Paragraph 2: Secondary context (policy OR history OR institutional)
Paragraph 3: Brief transition or methods preview---
Exemplar Articles
Primary Exemplar: Police Traffic Stops Study
Why exemplar: At 264 words in a single paragraph, this is the corpus minimum. Establishes the San Diego Police Department study, mentions the quantitative analysis that preceded qualitative interviews, and moves directly to data.
Key features:
- Single paragraph (1 paragraph)
- 264 words
- 2 citations
- Data-Preview transition
- Mixed-methods framing
Opening: "The data we present here were collected as part of a study of police traffic stops and their effects on police-community relations."
Secondary Exemplar: Undocumented Students at Jesuit Colleges
Why exemplar: Brief institutional context for a network of colleges, establishing mission and policy environment efficiently.
Key features:
- 2 paragraphs
- ~320 words
- 6 citations
- Institutional + policy context
- Implicit transition
Opening: "This network of colleges includes over 215,000 students, 21,000 faculty, and over two million living alumni."
Tertiary Exemplar: Gender Beliefs Course Study
Why exemplar: Demonstrates the Access-Driven variant. Explicitly acknowledges access opportunity and sample limitations.
Key features:
- 3 paragraphs
- ~422 words
- 3 citations
- Research-Setting opening
- Access acknowledgment
Opening: "While others have interviewed young people about their gender beliefs and show the consequences of their beliefs for inequality, we sought to determine whether and why their beliefs might feasibly change."
---
Calibration Checklist
Before submitting a Minimal Context section, verify:
- [ ] Word count is 300-500 words
- [ ] No more than 3 paragraphs
- [ ] No tables included
- [ ] No extended historical narrative
- [ ] One subsection at most
- [ ] Positioned after theory section
- [ ] Essential case features are clear
- [ ] Transition to methods is present (implicit or explicit)
If your section exceeds 500 words:
Consider whether you actually need Standard Context. Ask:
- Am I including geographic context that readers need?
- Am I providing historical background that matters analytically?
- Would my case benefit from fuller contextualization?
If yes to any, upgrade to Standard Context.
Cluster Profile: Policy-Driven
Quick Reference
| Attribute | Value |
|---|---|
| Cluster Name | Policy-Driven |
| N in corpus | 4 (13%) |
| Word Count | 650-900 words |
| Paragraphs | 3-6 |
| Subsections | 1 |
| Position | BEFORE theory |
| Table | Never |
---
When to Use This Cluster
Primary Triggers
Use Policy-Driven when ALL of the following apply:
1. Policy IS the phenomenon: The policy, law, or institutional arrangement is itself what you are studying (not just background context).
2. Context motivates theory: Readers must understand the policy/institutional context BEFORE your theoretical framework makes sense.
3. "What" before "why": The empirical reality must be established before you can theorize about it.
4. Strong applied implications: Your research has direct policy relevance and the context establishes the stakes.
Secondary Indicators
- Your case section would logically precede your theory section
- Policy details are dense and central (not brief background)
- You cite specific legislation, acts, or institutional arrangements
- The policy environment IS the puzzle your theory will address
The Key Distinguishing Feature
Position: Policy-Driven is the ONLY cluster positioned BEFORE the theory section. All other clusters follow theory. If your case context should come after theory, use a different cluster.
---
Benchmarks
| Metric | Target | Range | Notes |
|---|---|---|---|
| Word count | 650-900 | 652-903 | Corpus median: 765 |
| Paragraphs | 4 | 3-6 | Median: 4 |
| Citations | 14 | 10-18 | Density: 1.8 per 100 words |
| Subsections | 1 | 1 | Single heading |
| Components | 3-5 | 3-5 | Heavy on policy |
Component Prevalence
| Component | Frequency |
|---|---|
| Policy/Legal Context | 100% |
| Geographic Context | 75% |
| Historical Background | 75% |
| Institutional Description | 75% |
| Demographic Profile | 50% |
| Limitation Acknowledgment | 25% |
| Sampling Rationale | 0% |
| Access Story | 0% |
---
Required Components
1. Policy/legal description: Detailed account of the policy, law, or institutional arrangement (ALWAYS present - 100%) 2. BEFORE THEORY position: Section must precede theoretical framework 3. Stakes establishment: Why this policy matters
Optional Components
- Geographic context (75%)
- Historical background (75%)
- Institutional description (75%)
- Demographic profile (50%)
---
Signature Moves
Opening Patterns
Historical-Periodization with Policy Focus (25%):
"A hallmark of the Canadian social policy climate of the 1990s, social assistance reform was constituted as necessary to address government debts and deficits - the fiscal crisis of the welfare state."
Phenomenon-Site Link with Policy Content (75%):
"The deportation-carceral system reflects three key changes in immigration enforcement since the 1990s."
"Despite its overall demographic homogeneity, the Portland metropolitan area is home to some of the most racially diverse communities in the state of Oregon."
Institutional Description:
"In New York State, the site of this study, the child support agency is charged with opening a child support case, establishing paternity, and locating noncustodial parents."
Policy Establishment Phrases
Naming Key Legislation:
"In 1996, the U.S. Illegal Immigration Reform and Immigrant Responsibility Act (IIRIRA) vastly increased spending on immigration enforcement and expanded the list of deportable 'crimes' to include misdemeanors such as non-violent theft, identity fraud, domestic violence, drug crimes, gambling, and tax evasion."
"In 1997, then Premier Mike Harris implemented the Ontario Works Act, which slashed social assistance benefit rates by 21.6 percent and immediately froze them."
Establishing Notoriety/Significance:
"The province of Ontario is especially known (or infamous) for its social assistance reform that demonstrated punitive allegiance to neo-liberal prescriptions and the resolute pursuit of market citizenship."
Policy Mechanisms:
"It also has a number of administrative and judicial tools available to collect and enforce child support orders, including wage withholding, license revocation, tax refund intercepts, asset seizure, and incarceration."
Historical Context for Policy
"However, the overtly racist history of Portland and the state of Oregon contrasts with this reputation as an oasis of liberal politics. In 1857, Oregon adopted a state constitution banning Black people from entering, residing, or holding property in the state."
"New laws also made it harder for deportees to fight their cases, enabling expedited removal without due process or judicial review."
Bridge to Theory Phrases
Policy-Driven sections often end with a question or statement that theory will address:
"This paper addresses Portland's contradictions by asking: how are these contradictory realities reconciled in the lives of Portlanders of color?"
---
Prohibited Moves
Policy-Driven sections should NEVER:
1. Position after theory - This is the defining feature; BEFORE theory is mandatory 2. Include comparison tables - Tables signal Comparative treatment 3. Use minimal treatment - Policy context requires elaboration (650+ words) 4. Treat policy as background - Policy is foreground in this cluster 5. Skip legislation/institutional details - Dense policy content is expected
---
Template Structure
Standard Policy-Driven Template (4-5 paragraphs)
## [Policy/Institutional Context Title]
Paragraph 1: Policy landscape and historical context
- When this policy environment emerged
- Broader forces shaping it
- Why it matters
Paragraph 2: Specific policy/legal details
- Name specific legislation or programs
- Key provisions and mechanisms
- What the policy does
Paragraph 3: Local/case-specific context
- How this manifests in your site
- Site's particular relationship to policy
- Why this site exemplifies the policy
Paragraph 4: Stakes and significance
- Why this policy matters
- What makes it notable/notorious
- What questions it raises
Paragraph 5 (optional): Bridge to theory
- Question that theory will address
- What understanding the policy enables
- [THEORY SECTION FOLLOWS]Variant: Enumerated Changes
## [Policy System Title]
Paragraph 1: Overview - "The X system reflects N key changes..."
- List the changes
Paragraph 2: Change 1 in detail
- Legislation
- Mechanisms
- Consequences
Paragraph 3: Change 2 in detail
Paragraph 4: Change 3 in detail
Paragraph 5: Contemporary implications
- Where we are now
- [THEORY SECTION FOLLOWS]---
Exemplar Articles
Primary Exemplar: Ontario Social Assistance Reform
Why exemplar: Exemplifies the Policy-Driven cluster perfectly. Opens with historical-periodization ("A hallmark of the Canadian social policy climate of the 1990s"), establishes policy context (neoliberal welfare reform, Common Sense Revolution, Ontario Works Act), and positions BEFORE THEORY because understanding the policy is prerequisite to theorizing about it.
Key features:
- Position: BEFORE THEORY
- ~652 words
- Single subsection
- Historical-Periodization opening
- Intrinsic-Interest justification (Ontario as "notorious")
- Heavy policy/legal content
Opening: "A hallmark of the Canadian social policy climate of the 1990s, social assistance reform was constituted as necessary to address government debts and deficits - the fiscal crisis of the welfare state."
Structure: 1. Canadian social policy context (1990s) 2. Ontario's specific reforms 3. Ontario Works Act details 4. Discursive stigmatization context [THEORY SECTION FOLLOWS]
Secondary Exemplar: Deportation-Carceral System
Why exemplar: Traces three key changes in immigration enforcement since the 1990s. Dense policy content including IIRIRA, Criminal Alien Program, Secure Communities.
Key features:
- Position: BEFORE THEORY
- ~903 words
- Phenomenon-Site-Link opening with policy content
- Chronological policy development
- Specific legislation named
Opening: "The deportation-carceral system reflects three key changes in immigration enforcement since the 1990s: 1) the criminalization of immigrants...; 2) the militarization of the U.S.-Mexico border; and 3) a shift towards interior enforcement..."
Tertiary Exemplar: Family Court/Unmarried Parents
Why exemplar: Only article without subsections - continuous prose. Establishes legal/institutional context for family court in New York.
Key features:
- Position: BEFORE THEORY
- ~876 words
- No subsections (unique in corpus)
- Institutional-Description opening
- Legal mechanisms detailed
Opening: "In New York State, the site of this study, the child support agency is charged with opening a child support case, establishing paternity, and locating noncustodial parents."
Quaternary Exemplar: Portland Racial Dynamics
Why exemplar: Uses prior-site-studies citations. Establishes Portland's contradictions between liberal reputation and racist history.
Key features:
- Position: BEFORE THEORY
- ~678 words
- Prior-Site-Studies citation function
- Ends with research question that theory addresses
Opening: "Despite its overall demographic homogeneity, the Portland metropolitan area is home to some of the most racially diverse communities in the state of Oregon and remains a site of Black, Indigenous, Asian American, Latinx, and Pacific Islander community and resistance."
---
Calibration Checklist
Before submitting a Policy-Driven section, verify:
- [ ] Positioned BEFORE theory section (CRITICAL)
- [ ] Word count is 650-900 words
- [ ] 3-6 paragraphs present
- [ ] Single subsection heading
- [ ] Specific legislation/programs named
- [ ] Policy mechanisms detailed
- [ ] Intrinsic-Interest justification present
- [ ] No comparison tables
- [ ] Dense policy content (not brief background)
If your section is positioned AFTER theory:
You do not have a Policy-Driven section. Reconsider:
- Standard Context if policy is just background
- Whether repositioning is appropriate
If your section lacks dense policy content:
Policy-Driven requires detailed policy/legal/institutional description. If you only have 1-2 sentences of policy context, use:
- Standard Context with policy component
- Minimal Context if case requires little context
If you are comparing policy implementations across sites:
You may need Comparative with policy emphasis, not Policy-Driven.
---
Special Considerations
The BEFORE THEORY Position
This is the most important distinguishing feature of Policy-Driven. The logic is:
1. Readers cannot understand your theoretical framework without first understanding the policy context 2. The policy context MOTIVATES the theoretical framework 3. The "what" (policy) must precede the "why" (theory)
If this logic does not apply to your case, do not use Policy-Driven.
Justification Strategy
Policy-Driven sections use Intrinsic-Interest justification (100% in corpus). The case matters because the policy itself matters - not because it fits a theoretical framework (that comes later) or provides variation (Comparative territory).
Citation Density
Policy-Driven has the highest citation density (1.8 per 100 words). Expect to cite:
- Specific legislation and legal sources
- Prior studies of this policy/institution
- Statistics on policy implementation
- News sources or government reports
Cluster Profile: Standard Context
Quick Reference
| Attribute | Value |
|---|---|
| Cluster Name | Standard Context |
| N in corpus | 11 (34%) |
| Word Count | 700-1,000 words |
| Paragraphs | 3-7 |
| Subsections | 1 |
| Position | AFTER theory |
| Table | Rarely (9%) |
---
When to Use This Cluster
Primary Triggers
Use Standard Context when ALL of the following apply:
1. Single research site: You are studying one location, organization, or case (not comparing multiple sites).
2. Moderate contextualization needed: The case requires more than minimal introduction but does not require extensive historical narrative.
3. Theory drives site selection: The case was chosen because it provides conditions where theoretical processes can be observed (Theoretical-Fit) or because it matters in its own right (Intrinsic-Interest).
4. Standard research design: Not a comparative design, not a policy study that must precede theory, not a movement study requiring historical periodization.
Secondary Indicators
- Geographic, historical, or policy dimensions need to be established
- Case is not widely known to readers
- Historical context is background, not foreground
- 3-7 paragraphs are sufficient to establish context
Standard Context is the DEFAULT cluster. Use it when other clusters don't apply.
---
Benchmarks
| Metric | Target | Range | Notes |
|---|---|---|---|
| Word count | 700-1,000 | 600-1,200 | Corpus median: 800 |
| Paragraphs | 5 | 3-7 | Median: 5 |
| Citations | 10 | 6-15 | Density: 1.3 per 100 words |
| Subsections | 1 | 1 | Single heading |
| Components | 3-5 | 3-5 | Balanced |
Component Prevalence
| Component | Frequency |
|---|---|
| Geographic Context | 82% |
| Historical Background | 64% |
| Policy/Legal Context | 64% |
| Institutional Description | 45% |
| Demographic Profile | 45% |
| Sampling Rationale | 36% |
| Limitation Acknowledgment | 9% |
| Access Story | 0% |
---
Required Components
1. Site identification: Clear geographic and/or institutional identification 2. Contextual trifecta: Include at least TWO of the following:
- Geographic context
- Historical background
- Policy/legal context
3. Case significance: Why this case matters (theoretical fit or intrinsic interest)
Optional Components
- Demographic profile of the population or area
- Institutional description
- Sampling rationale (may appear in Methods)
- Brief policy environment
---
Signature Moves
Opening Patterns
Geographic Introduction (27% - signature for this cluster):
"Kansas is a re-emerging destination for Latina/o immigrants."
"The UAE is a small Islamic federation of nearly ten million residents in the Arab Gulf."
Phenomenon-Site Link (45%):
"With the formalization of a labor-export policy in the mid-1970s, the Indonesian government entered the labor brokerage industry."
"Ghostwriting is not a new form of work."
Justification Patterns
Theoretical Fit (36%):
"Emirati women present a valuable case for understanding how households manage earmarking under conditions where..."
"The case illuminates therapeutic governance..."
Intrinsic Interest (36%):
"Kansas has a complex sociopolitical environment towards immigration."
"Anti-immigrant rhetoric fueled the presidential election of 2016 and generated a hostile environment for Latina/o communities across the United States."
Content Development Patterns
Historical thread:
"The railroad industry brought Mexican immigrants to the state at the turn of the 20th century."
Demographic statistics:
"In 2000, seven percent of the state's population was Latina/o and by 2017 this rose to over 11 percent, of whom 34 percent were foreign born."
Policy context:
"In 2004 undocumented college students gained in-state tuition. However, in the same period the state denied undocumented immigrants access to driver's licenses..."
Transition Patterns
Implicit (73% - most common): Section ends; Methods follows. No explicit transition needed.
"This anti-immigrant context emerges from a long history of immigration policies that criminalize undocumented migration and racialize illegality, linking stereotypes of Mexican origin to perceptions of illegality."
---
Prohibited Moves
Standard Context sections should AVOID:
1. Multiple subsections - Use only one subsection heading 2. Chronological narratives - If tracing multiple episodes, use Deep Historical 3. Comparison tables - Tables signal Comparative treatment 4. Position before theory - That signals Policy-Driven 5. Extensive historical development - More than 3 paragraphs of history suggests Deep Historical 6. Access-driven justification - This is rare and suggests Minimal
---
Template Structure
Standard Template (5 paragraphs)
## [Site Name Context]
Paragraph 1: Geographic introduction and site identification
- Name the location
- Key geographic features
- Position within broader region
Paragraph 2: Historical background
- Brief history (not chronological narrative)
- How we got to the present
- 1-2 sentences on historical roots
Paragraph 3: Demographic and/or institutional context
- Population statistics
- Key institutional features
- Who lives/works there
Paragraph 4: Policy and/or legal context
- Relevant laws or policies
- Political environment
- Institutional constraints
Paragraph 5: Significance and transition
- Why this case matters
- How it connects to theory
- [Implicit transition to Methods]Shorter Template (3-4 paragraphs)
## [Site Name Context]
Paragraph 1: Geographic introduction + historical roots
Paragraph 2: Policy/institutional context + demographics
Paragraph 3: Significance + any remaining contextLonger Template (6-7 paragraphs)
## [Site Name Context]
Paragraph 1: Geographic introduction
Paragraph 2: Historical background
Paragraph 3: Policy environment
Paragraph 4: Demographic profile
Paragraph 5: Institutional context
Paragraph 6: Contemporary significance
Paragraph 7: Transition/summary [optional]---
Exemplar Articles
Primary Exemplar: Kansas Latino Immigration
Why exemplar: Demonstrates the standard template well. Opens with geographic introduction, provides historical and demographic context, addresses policy environment, and establishes why Kansas is a suitable site for theoretical inquiry.
Key features:
- Single subsection ("The Kansas Context")
- ~800 words
- 4 paragraphs
- Geographic + Historical + Policy + Demographic components
- Implicit transition
- Intrinsic-Interest justification
Opening: "Kansas is a re-emerging destination for Latina/o immigrants."
Structure: 1. Geographic introduction + historical roots 2. Contemporary demographics + scholarly positioning 3. Policy environment (in-state tuition, driver's licenses, Secure Communities) 4. National political context (Trump-era enforcement)
Secondary Exemplar: UAE Women's Employment
Why exemplar: Clean example of geographic + legal/policy context. Establishes the UAE's unique institutional environment for women's employment.
Key features:
- Single subsection
- ~1,000 words
- Geographic opening
- Legal context (marriage law, employment policies)
- Theoretical-Fit justification
Opening: "The UAE is a small Islamic federation of nearly ten million residents in the Arab Gulf."
Tertiary Exemplar: Chinese Eldercare
Why exemplar: Phenomenon-Site-Link opening connecting to theoretical framework on global care chains.
Key features:
- Single subsection
- ~750 words
- Phenomenon-Site-Link opening
- Cultural context (filial piety)
- Theoretical-Fit justification
Opening: "Scholarship on the global care chain has largely focused on..."
---
Calibration Checklist
Before submitting a Standard Context section, verify:
- [ ] Word count is 700-1,000 words
- [ ] 3-7 paragraphs present
- [ ] Exactly one subsection heading
- [ ] At least two of the contextual trifecta included (geographic/historical/policy)
- [ ] Case significance is clear
- [ ] Positioned after theory section
- [ ] No comparison tables
- [ ] No extended chronological narrative (more than 3 paragraphs)
- [ ] Implicit or bridge transition present
If your section exceeds 1,200 words:
Consider whether you need:
- Deep Historical (if historical development is central)
- Comparative (if describing multiple sites)
- Policy-Driven (if policy context should precede theory)
If your section is under 600 words:
Consider whether:
- Minimal Context would suffice (well-known site, mixed-methods prelude)
- You need to add geographic, historical, or policy context
If you have multiple sites:
You need Comparative, not Standard Context.
Phase 0: Assessment
You are executing Phase 0 of case-justification. Your goal is to gather study information and select the appropriate cluster for the case justification section.
Why This Phase Matters
Case justification sections follow predictable patterns based on study characteristics. Selecting the wrong cluster leads to mismatched content (e.g., writing a Deep Historical section when Standard would suffice) or structural errors (e.g., positioning Policy-Driven content after theory). This phase ensures deliberate cluster selection based on your study's actual needs.
---
Your Tasks
1. Gather Case Information
Collect from the user:
Required:
- Site name and location
- Population studied
- Key contextual features (geographic, historical, policy, institutional)
- How the case relates to the theoretical framework
For Cluster Selection:
- Single site or multiple sites?
- Is historical development central to the case?
- Does policy/institutional context need to precede theory?
- Is the site well-known or does it require extensive introduction?
- Are there space constraints?
2. Apply the Cluster Decision Tree
Work through this diagnostic:
CLUSTER DECISION TREE
1. Does your case context need to PRECEDE your theoretical framework?
- Is the policy/law/institution ITSELF the phenomenon you theorize about?
- Must readers understand "what" before "why"?
- Does the institutional context motivate the theory?
--> YES: POLICY-DRIVEN CLUSTER
Position: BEFORE theory
Target: 650-900 words
2. Do you have MULTIPLE RESEARCH SITES that you will compare?
- Two or more distinct locations or organizations
- Parallel data collection across sites
- Site differences provide analytical leverage
--> YES: COMPARATIVE CLUSTER
Parallel structure, usually with table
Target: 1,000-1,500 words
3. Is HISTORICAL DEVELOPMENT central to your case?
- Social movement tracking protest cycles
- Policy tracing reform trajectories over time
- Multiple named episodes or periods
- "How we got here" matters analytically
--> YES: DEEP HISTORICAL CLUSTER
Chronological organization, multiple subsections
Target: 1,500-2,500 words
4. Is your case WELL-KNOWN and requires MINIMAL introduction?
- Site is famous/familiar (major city, well-known institution)
- Mixed-methods design where qualitative follows quantitative
- Phenomenon matters more than site specifics
- Severe space constraints
- Access-driven case selection
--> YES: MINIMAL CONTEXT CLUSTER
Brief, 1-3 paragraphs
Target: 300-500 words
5. None of the above apply?
--> STANDARD CONTEXT CLUSTER (DEFAULT)
Balanced single-site context
Target: 700-1,000 words3. Review Cluster Profile
Once you have a candidate cluster, consult the detailed profile:
clusters/minimal.md(300-500 words)clusters/standard.md(700-1,000 words)clusters/historical.md(1,500-2,500 words)clusters/comparative.md(1,000-1,500 words)clusters/policy.md(650-900 words)
Verify the profile matches the user's study characteristics.
4. Assess Components to Include
Based on the cluster and study characteristics, determine which components to include:
Geographic Context:
- [ ] Location and regional characteristics
- [ ] Urban/rural features
- [ ] Relevant geography
Historical Background:
- [ ] Key historical developments
- [ ] How we got to the present
- [ ] Named periods or episodes (Deep Historical)
Policy/Legal Context:
- [ ] Relevant laws or policies
- [ ] Institutional arrangements
- [ ] Political environment
Demographic Profile:
- [ ] Population statistics
- [ ] Racial/ethnic composition
- [ ] Socioeconomic characteristics
Institutional Description:
- [ ] Organizations involved
- [ ] Institutional features
- [ ] Structural characteristics
Sampling Rationale:
- [ ] Why this case?
- [ ] Theoretical fit argument
- [ ] Intrinsic interest argument
5. Determine Position
CRITICAL: Only Policy-Driven sections go BEFORE theory. All other clusters position AFTER theory.
If user indicates the case must precede theory but doesn't fit Policy-Driven triggers, discuss whether:
- The case section should actually go after theory
- The study actually IS Policy-Driven
- There's a mismatch in how the article is structured
6. Write Assessment Memo
Create a summary with:
# Case Justification Assessment
## Case Summary
- **Site**: [Name and location]
- **Population**: [Who was studied]
- **Key Features**: [Geographic, historical, policy, institutional]
- **Relationship to Theory**: [How case connects to framework]
## Cluster Selection Analysis
### Decision Tree Walk-Through
1. Policy context must precede theory? [YES/NO - reasoning]
2. Multiple sites compared? [YES/NO - reasoning]
3. Historical development central? [YES/NO - reasoning]
4. Well-known, minimal intro needed? [YES/NO - reasoning]
## Recommended Cluster
**[Minimal/Standard/Deep Historical/Comparative/Policy-Driven]**
### Rationale
- [Why this cluster fits]
- [What characteristics drove the selection]
### Alternative Considered (if applicable)
- [Why rejected alternative]
## Cluster Implications
- **Target word count**: [range]
- **Position**: [BEFORE/AFTER theory]
- **Subsections**: [number expected]
- **Table**: [Required/Recommended/Omit]
## Components to Include
- [ ] Geographic Context
- [ ] Historical Background
- [ ] Policy/Legal Context
- [ ] Demographic Profile
- [ ] Institutional Description
- [ ] Sampling Rationale
## Recommended Opening Move
[Phenomenon-Site-Link / Geographic-Introduction / Historical-Periodization / Institutional-Description / Research-Setting]
## Recommended Justification Strategy
[Intrinsic-Interest / Theoretical-Fit / Empirical-Extremity / Variation-Leverage / Access-Driven]
## Questions for User
- [Any clarifying questions needed before drafting]7. Present Recommendation
Present to user:
- Recommended cluster with clear rationale
- Target word count and structural expectations
- Position (before or after theory)
- Components to include
- Any questions before proceeding
---
Guiding Principles
Standard Is the Default
When in doubt, choose Standard Context. It's the most common cluster (34%) and fits most single-site interview studies. Other clusters are for specific circumstances.
Position Is Non-Negotiable
Policy-Driven goes BEFORE theory. All others go AFTER. This is not a stylistic choice; it reflects the logical relationship between case and theory.
Historical Complexity Requires Space
If the case involves named episodes, chronological development, or movement history, it probably needs Deep Historical treatment. Don't compress this into Standard.
Comparison Requires Parallel Structure
If studying multiple sites, each must receive comparable coverage. The variation-leverage statement ("By comparing X and Y, we can...") is essential.
Tables Signal Comparison
If you have demographic or characteristic data to compare across sites or pre/post, use a table. Tables belong almost exclusively in Comparative sections.
---
Output Files to Create
1. assessment-memo.md - Full assessment with cluster recommendation 2. (Optional) questions-for-user.md - If clarification needed
---
When You're Done
Report to the orchestrator:
- Recommended cluster
- Key rationale (2-3 sentences)
- Any outstanding questions
- Readiness assessment for Phase 1
Example summary:
"I recommend Standard Context (700-1,000 words, positioned after theory) for this study of Latino immigration experiences in Kansas. The site is not widely known, the design is single-site, and historical development is background rather than central. I recommend including geographic context, brief historical background, policy environment, and demographic statistics. Ready for Phase 1: Drafting."
Phase 1: Drafting
You are executing Phase 1 of case-justification. Your goal is to write a complete case justification section following the selected cluster template and word allocation.
Why This Phase Matters
Case justification sections must accomplish multiple goals: establish the research site, justify case selection, provide necessary context, and connect to the theoretical framework - all within specific word constraints. This phase transforms the cluster template into prose that matches the conventions of Social Problems and Social Forces.
---
Inputs
Before starting, gather: 1. Assessment memo from Phase 0 (cluster selection, components to include) 2. User's case details (site, features, context, theoretical connection) 3. Cluster profile from clusters/[cluster].md 4. Opening moves from techniques/opening-moves.md 5. Justification strategies from techniques/justification-strategies.md 6. Transitions from techniques/transitions.md
---
Your Tasks
1. Follow the Cluster Structure
Each cluster has a specific word allocation. Match your draft to these targets:
MINIMAL CONTEXT (~400 words)
[Opening + Site Identification] ~100 words
[Key Feature(s)] ~150 words
[Justification/Transition] ~150 wordsSTANDARD CONTEXT (~850 words)
[Opening + Geographic Context] ~200 words
[Historical Background] ~200 words
[Policy/Institutional Context] ~200 words
[Demographics/Significance] ~200 words
[Transition] ~50 words (often implicit)DEEP HISTORICAL (~2,000 words)
[Framing Paragraph] ~150 words
[Dating the Origins] ~200 words
[Episode 1] ~400 words
[Episode 2] ~400 words
[Episode 3 (if applicable)] ~400 words
[Summary/Transition] ~200 wordsCOMPARATIVE (~1,250 words)
[Macro-Context/Framing] ~150 words
[Site Selection Rationale] ~150 words
[Site A Description] ~300 words
[Site B Description] ~300 words
[Table + Discussion] ~200 words
[Variation-Leverage Statement] ~150 wordsPOLICY-DRIVEN (~775 words)
[Policy Landscape/Historical] ~200 words
[Specific Policy Details] ~200 words
[Local/Case-Specific Context] ~200 words
[Stakes/Significance] ~150 words
[Bridge to Theory] ~25 words (optional)2. Draft the Opening
Choose an opening pattern based on cluster and corpus norms:
Phenomenon-Site-Link (50% of corpus - works for all clusters):
"With the formalization of a labor-export policy in the mid-1970s, the Indonesian government entered the labor brokerage industry."
Geographic-Introduction (19% - Standard, Comparative):
"Kansas is a re-emerging destination for Latina/o immigrants."
"The UAE is a small Islamic federation of nearly ten million residents in the Arab Gulf."
Historical-Periodization (6% - Deep Historical, Policy-Driven):
"A latecomer in the contemporary women's movement, the U.S. anti-domestic violence movement or the 'battered women's movement' began in 1973..."
Institutional-Description (16% - Standard, Comparative):
"This network of colleges includes over 215,000 students, 21,000 faculty, and over two million living alumni."
Research-Setting (9% - Minimal):
"The data we present here were collected as part of a study of police traffic stops and their effects on police-community relations."
See techniques/opening-moves.md for more patterns.
3. Incorporate Justification Strategy
Every case justification section must explain why this case. Use one of five strategies:
Intrinsic-Interest (38% - all clusters, especially Policy-Driven):
"Kansas has a complex sociopolitical environment towards immigration."
"The province of Ontario is especially known (or infamous) for its social assistance reform."
Theoretical-Fit (22% - Standard, Deep Historical):
"Emirati women present a valuable case for understanding how households manage earmarking under conditions where..."
Empirical-Extremity (16% - Deep Historical):
"Nashville was one of the most significant movement centers in the overall southern civil rights struggle, and we have unusually rich data on its movement participants."
Variation-Leverage (16% - Comparative only):
"By controlling for stroll type, we believe the comparison will be richer and will minimize the likelihood that other confounding variables could serve as an alternative explanation."
Access-Driven (9% - Minimal only):
"Given this interest, we were fortunate to gain access to students in a sociology course."
See techniques/justification-strategies.md for more patterns.
4. Draft Each Component
Work through components based on cluster requirements. Consult the cluster profile for component prevalence.
A. Geographic Context
What to include:
- Location (state, region, country)
- Relevant geographic features
- Urban/rural characteristics
- Regional positioning
Example (Standard):
"Kansas is a re-emerging destination for Latina/o immigrants. The railroad industry brought Mexican immigrants to the state at the turn of the 20th century. The movement of the meatpacking industry to rural areas and growth of service sector jobs in the state has attracted Latina/o immigrants to the state."
B. Historical Background
What to include:
- Key historical developments
- How current conditions emerged
- Temporal markers (decades, years, periods)
Minimal treatment (Standard):
"The railroad industry brought Mexican immigrants to the state at the turn of the 20th century."
Extended treatment (Deep Historical): Trace multiple episodes chronologically with named events, dates, and developments.
C. Policy/Legal Context
What to include:
- Relevant legislation (name and date)
- Policy mechanisms
- Political environment
Example:
"In 2004 undocumented college students gained in-state tuition. However, in the same period the state denied undocumented immigrants access to driver's licenses."
Dense Policy (Policy-Driven):
"In 1997, then Premier Mike Harris implemented the Ontario Works Act, which slashed social assistance benefit rates by 21.6 percent and immediately froze them."
D. Demographic Profile
What to include:
- Population statistics with citations
- Racial/ethnic composition
- Socioeconomic characteristics
Example:
"In 2000, seven percent of the state's population was Latina/o and by 2017 this rose to over 11 percent, of whom 34 percent were foreign born."
Comparative treatment: Use a table to compare demographics across sites.
E. Institutional Description
What to include:
- Organizations studied
- Institutional features
- Structural characteristics
Example:
"In New York State, the site of this study, the child support agency is charged with opening a child support case, establishing paternity, and locating noncustodial parents."
5. Draft the Transition
Choose a transition pattern based on cluster:
Implicit (66% - most clusters): Simply end the section; the structural break to Methods carries readers forward.
[End of case section; Methods begins]
Integrated (22% - Comparative): Fold methods content into site descriptions:
"Interviews lasted 45 minutes on average. All interviews occurred in the SROs' assigned schools."
Data-Preview (6% - Minimal):
"While the focus of this paper is on the analysis of the interview data..."
Bridge-Statement (6% - Policy-Driven):
"This paper addresses Portland's contradictions by asking: how are these contradictory realities reconciled?"
See techniques/transitions.md for more patterns.
6. Add Tables (Comparative Only)
If writing a Comparative section, include a table comparing sites:
| Characteristic | Site A | Site B |
|---|---|---|
| Population | X | Y |
| Demographics | ... | ... |
| Key Feature | ... | ... |
71% of Comparative sections include tables. This is a signature element.
7. Calibrate Word Count
After drafting, check word count against cluster targets:
| Cluster | Target | Acceptable Range |
|---|---|---|
| Minimal | 400 | 300-500 |
| Standard | 850 | 700-1,000 |
| Deep Historical | 2,000 | 1,500-2,500 |
| Comparative | 1,250 | 1,000-1,500 |
| Policy-Driven | 775 | 650-900 |
If over target:
- Compress geographic description
- Reduce historical detail (unless Deep Historical)
- Cut redundant policy context
- Move demographics to Methods table
If under target:
- Add geographic context
- Expand historical background
- Include demographic statistics
- Add policy/institutional detail
8. Verify Position
CRITICAL: Confirm the section is positioned correctly:
- Policy-Driven: BEFORE theory section
- All others: AFTER theory section
---
Guiding Principles
1. Dive Into Substance
Don't open with metadiscourse ("In this section, I describe..."). Start with concrete case information.
2. Match Cluster to Content
Follow the word allocation. Don't write 1,500 words for a Standard section or 500 words for Deep Historical.
3. Parallel Structure for Comparative
If comparing sites, Site B should cover the same dimensions as Site A. Readers should be able to compare.
4. Chronological Organization for Historical
Deep Historical sections tell a story. Name episodes, use dates, trace development.
5. Dense Policy for Policy-Driven
Policy-Driven sections have the highest citation density (1.8 per 100 words). Name legislation, detail mechanisms.
6. Implicit Transitions Are Normal
66% of corpus sections end without explicit transition. The structural break is sufficient.
---
Output Files to Create
1. case-section-draft.md - Complete case justification section 2. drafting-notes.md - Notes on word count, components included/omitted, areas needing revision
---
When You're Done
Report to the orchestrator:
- Draft complete (yes/no)
- Word count achieved vs. target
- Components included
- Components omitted (with rationale)
- Areas flagged for revision
Example summary:
"Draft complete. 823 words (target: 850). Standard Context cluster. Included: geographic context, historical background (brief), policy environment, demographic statistics. Omitted: institutional description (not relevant). Opening: Phenomenon-Site-Link. Justification: Intrinsic-Interest. Transition: Implicit. Ready for Phase 2: Revision."
Phase 2: Revision
You are executing Phase 2 of case-justification. Your goal is to calibrate the draft against cluster benchmarks and polish the prose.
Why This Phase Matters
Case justification sections follow predictable patterns in length, structure, and component coverage. Reviewers notice sections that deviate significantly from genre norms. This phase ensures your draft matches the conventions of Social Problems and Social Forces.
---
Inputs
Before starting, gather: 1. Draft case justification section from Phase 1 2. Assessment memo from Phase 0 (cluster selection, components) 3. Cluster profile from clusters/[cluster].md 4. Benchmarks summary from analysis
---
Your Tasks
1. Word Count Calibration
Check draft against cluster targets:
| Cluster | Target | Acceptable | Too Short | Too Long |
|---|---|---|---|---|
| Minimal | 300-500 | 264-550 | < 250 | > 550 |
| Standard | 700-1,000 | 600-1,200 | < 600 | > 1,200 |
| Deep Historical | 1,500-2,500 | 1,200-3,000 | < 1,200 | > 3,000 |
| Comparative | 1,000-1,500 | 800-1,800 | < 800 | > 1,800 |
| Policy-Driven | 650-900 | 600-1,000 | < 600 | > 1,000 |
If too short:
- Add geographic context
- Expand historical background
- Include demographic statistics with citations
- Add policy/institutional detail
If too long:
- Compress geographic description
- Reduce historical detail (unless Deep Historical)
- Move demographics to Methods table
- Cut redundant policy context
If significantly off-target: Consider whether the cluster assignment is correct. A 500-word section trying to be Standard may actually be Minimal. A 1,400-word Standard may need to be Deep Historical.
2. Component Verification
Check that required components are present for the cluster:
Minimal Context (must have)
- [ ] Site identification
- [ ] One or two key features
- [ ] Transition to methods
Standard Context (must have at least 2 of 3)
- [ ] Geographic context OR
- [ ] Historical background OR
- [ ] Policy/legal context
- [ ] Case significance (why this case)
Deep Historical (must have)
- [ ] Chronological narrative
- [ ] Named episodes or periods
- [ ] Multiple subsections (2+)
- [ ] Scholarly positioning citations
Comparative (must have)
- [ ] Parallel site descriptions
- [ ] Variation-leverage statement
- [ ] Site selection rationale
- [ ] Table (strongly recommended - 71% have)
Policy-Driven (must have)
- [ ] Policy/legal description (detailed)
- [ ] BEFORE THEORY position
- [ ] Stakes establishment
3. Citation Density Check
Verify citation density matches cluster norms:
| Cluster | Citations per 100 words | Typical Total |
|---|---|---|
| Minimal | 0.7 | 3 |
| Standard | 1.3 | 10 |
| Deep Historical | 1.5 | 23 |
| Comparative | 1.1 | 12 |
| Policy-Driven | 1.8 | 14 |
If under-cited:
- Add citations for demographic statistics (Census, institute reports)
- Add scholarly citations for prior research on site
- Add citations for policy/legislation claims
If over-cited:
- Generally not a problem
- Consider whether section is bloated with excessive sourcing
4. Opening Move Assessment
Verify the opening matches cluster conventions:
| Cluster | Preferred Openings |
|---|---|
| Minimal | Research-Setting (40%), Phenomenon-Site-Link (40%) |
| Standard | Phenomenon-Site-Link (45%), Geographic-Introduction (27%) |
| Deep Historical | Phenomenon-Site-Link (60%), Historical-Periodization (40%) |
| Comparative | Phenomenon-Site-Link (43%), Institutional-Description (29%) |
| Policy-Driven | Phenomenon-Site-Link (75%), Historical-Periodization (25%) |
Prohibited openings across all clusters:
- "In this section, I will describe..."
- "My research setting is..."
- "The purpose of this section is to..."
- "As mentioned above..."
5. Transition Assessment
Verify the transition matches cluster norms:
| Cluster | Preferred Transition |
|---|---|
| Minimal | Implicit (60%) or Data-Preview (20%) |
| Standard | Implicit (73%) |
| Deep Historical | Implicit (80%) |
| Comparative | Implicit (43%) or Integrated (43%) |
| Policy-Driven | Implicit (75%) or Bridge-Statement (25%) |
Note: Implicit transitions (section simply ends) are the norm. Don't add explicit transitions unless the cluster calls for it.
6. Position Verification
CRITICAL: Confirm correct position:
- Policy-Driven: Section appears BEFORE theory section
- All other clusters: Section appears AFTER theory section
If the draft is Policy-Driven but positioned after theory, or vice versa, flag this for user review.
7. Parallel Structure Check (Comparative Only)
For Comparative sections, verify:
- [ ] Site A and Site B receive comparable coverage
- [ ] Same dimensions are addressed for each site
- [ ] Variation-leverage statement explains what comparison enables
- [ ] Table compares sites across relevant dimensions
8. Chronological Logic Check (Deep Historical Only)
For Deep Historical sections, verify:
- [ ] Clear temporal progression
- [ ] Episodes are named and dated
- [ ] Transitions between periods are explicit
- [ ] Summary paragraph connects arc to analysis
9. Prose Polish
Check for common issues:
Remove metadiscourse:
- "It is important to note that..." --> Just state the fact
- "As described above..." --> Remove entirely
- "In this section, I..." --> Remove entirely
Strengthen verbs:
- "There was an increase in..." --> "X increased..."
- "It can be seen that..." --> Remove and state directly
Check parallel construction:
- Lists should have parallel structure
- Site descriptions in Comparative should mirror each other
Verify citations are formatted:
- Check journal citation style
- Verify all facts have sources
10. Final Checklist
All Clusters
- [ ] Word count within acceptable range
- [ ] Required components present
- [ ] Citation density appropriate
- [ ] Opening matches cluster conventions
- [ ] No prohibited metadiscourse
- [ ] Transition present (usually implicit)
Cluster-Specific
Minimal:
- [ ] No tables
- [ ] No extended historical narrative
- [ ] Under 500 words
Standard:
- [ ] Single subsection
- [ ] No comparison tables
- [ ] Positioned after theory
Deep Historical:
- [ ] 2+ subsections
- [ ] Chronological organization
- [ ] Named episodes/periods
- [ ] Summary paragraph
Comparative:
- [ ] Parallel site structure
- [ ] Variation-leverage statement
- [ ] Table present (recommended)
Policy-Driven:
- [ ] BEFORE theory position
- [ ] Dense policy content
- [ ] Specific legislation named
---
Output
Create a revision memo with:
# Case Justification Revision Report
## Word Count
- **Draft**: [X] words
- **Target**: [Y-Z] words
- **Status**: [Within range / Adjusted]
## Component Coverage
- [Component]: [Present/Added/Omitted] - [rationale if omitted]
- ...
## Citation Density
- **Density**: [X] per 100 words
- **Total**: [N] citations
- **Target**: [Y] citations
- **Status**: [Appropriate / Adjusted]
## Structural Elements
- **Opening**: [Type] - [Appropriate / Changed to X]
- **Transition**: [Type] - [Appropriate / Changed to X]
- **Position**: [BEFORE/AFTER theory] - [Correct / ERROR]
- **Subsections**: [N] - [Appropriate / Adjusted]
- **Table**: [Present/Absent] - [Appropriate / Added / N/A]
## Prose Revisions
- [List specific prose improvements made]
## Remaining Issues
- [Any issues user should address]
## Quality Assessment
- **Cluster match**: [Good / Marginal / Reconsider cluster]
- **Calibration**: [Matches norms / Minor deviations / Significant deviations]
- **Ready for submission**: [Yes / Needs further work]---
When You're Done
Report to the orchestrator:
- Final word count vs. target
- Any structural changes made
- Quality assessment
- Any remaining issues for user
Example summary:
"Revision complete. Final: 847 words (target: 700-1,000). Standard Context calibrated correctly. Added two demographic citations (Census data) to improve citation density from 0.9 to 1.2 per 100 words. Opening (Phenomenon-Site-Link) and transition (Implicit) match cluster norms. All required components present. Ready for user review."
Justification Strategies: Case Justification Sections
Every case justification section must answer the implicit question: "Why this case?" This guide presents the five justification strategies identified in the 32-article corpus.
---
Overview
| Strategy | Prevalence | Best For |
|---|---|---|
| Intrinsic-Interest | 38% | All clusters, especially Policy-Driven |
| Theoretical-Fit | 22% | Standard, Deep Historical |
| Empirical-Extremity | 16% | Deep Historical |
| Variation-Leverage | 16% | Comparative (signature) |
| Access-Driven | 9% | Minimal |
---
Type B5: Intrinsic-Interest (38%)
The case is worth studying because it matters in its own right. The site has significance beyond its theoretical utility - it's important, notable, or consequential.
Pattern
"[Site] is [notable/important/significant] because [reasons]."
Examples
Standard Context:
"Kansas has a complex sociopolitical environment towards immigration."
"Anti-immigrant rhetoric fueled the presidential election of 2016 and generated a hostile environment for Latina/o communities across the United States."
Policy-Driven (100% use Intrinsic-Interest):
"The province of Ontario is especially known (or infamous) for its social assistance reform that demonstrated punitive allegiance to neo-liberal prescriptions and the resolute pursuit of market citizenship."
"The study took place during a time of intensified frequency of deportations by the U.S. Department of Homeland Security in the Obama administration."
Deep Historical:
"The year 2011 was an important moment in the political history of contemporary Russia."
When to Use
- When the case has real-world significance
- When policy relevance is central
- When the site is notable, notorious, or consequential
- In Policy-Driven sections (always)
When to Avoid
- When the case's importance is primarily theoretical
- When variation-leverage is the real logic (use Variation-Leverage instead)
---
Type B1: Theoretical-Fit (22%)
The case was selected because it provides ideal conditions for observing theoretical processes or testing theoretical propositions.
Pattern
"[Site] presents a valuable case for understanding [theoretical process] because [conditions]."
Examples
Standard Context:
"Emirati women present a valuable case for understanding how households manage earmarking under conditions where..."
"The case illuminates therapeutic governance..."
Deep Historical:
"While several accounts seeking to explain the Egyptian Uprising of 2011 begin with the killing of Khaled Said... it seems more appropriate to date the origins of this episode of collective contestation to the beginning of the new millennium."
When to Use
- When case selection logic is explicitly theoretical
- When conditions at the site map onto theoretical processes
- When extending or testing existing theory
When to Avoid
- When intrinsic importance is the primary logic
- In Policy-Driven sections (policy is foreground, not theory)
- In Comparative sections (use Variation-Leverage instead)
---
Type B2: Empirical-Extremity (16%)
The case represents an extreme, deviant, or paradigmatic instance. It's significant because it's first, most, or distinctive in some empirically meaningful way.
Pattern
"[Site] was [the first/most significant/one of the most important] [X]."
Examples
Deep Historical:
"Nashville was one of the most significant movement centers in the overall southern civil rights struggle, and we have unusually rich data on its movement participants."
"A latecomer in the contemporary women's movement, the U.S. anti-domestic violence movement or the 'battered women's movement' began in 1973..." [California and Minnesota as "first"]
Comparative:
"Unlike King, Chavez does not require these courses for graduation and does not employ college professors to teach them."
When to Use
- When the case is empirically distinctive
- When "first," "most," or "extreme" language applies
- In historical cases with paradigmatic status
- When data availability is unusually rich
When to Avoid
- When the case is typical or ordinary
- When theoretical fit matters more than empirical distinction
---
Type B3: Variation-Leverage (16%)
The comparison between sites enables analytical traction. Differences or similarities across sites allow you to isolate mechanisms or test scope conditions.
Pattern
"By comparing [Site A] and [Site B], we can [analytical payoff]."
Examples
Comparative (signature strategy - 57% of Comparative sections):
"By controlling for stroll type, we believe the comparison will be richer and will minimize the likelihood that other confounding variables... could serve as an alternative explanation for our findings instead of extent of gentrification."
"Unlike King, Chavez does not require these courses for graduation and does not employ college professors to teach them."
"Comparatively, SBR runs through Ward 7, a stroll that is also close to public transportation and a major highway, but one that has experienced almost no development or neighborhood-level change during the same period of time."
"This move generates a dramatic change in families' residential contexts."
When to Use
- In Comparative sections (essential)
- When site differences provide analytical leverage
- When controlling for or varying specific features
- When matched-pair or most-different logic applies
When to Avoid
- In single-site studies (use other strategies)
- When sites are not being systematically compared
NOTE: This is the SIGNATURE justification for Comparative sections. It is essentially required.
---
Type B4: Access-Driven (9%)
The case was selected because of research access - an opportunity arose to study this site. This is a candid acknowledgment that site selection was pragmatic.
Pattern
"We were fortunate to gain access to [site]."
Examples
Minimal Context:
"Given this interest, we were fortunate to gain access to students in a sociology course about why the gender gap in leadership exists."
With Limitations Acknowledged:
"While others have interviewed young people about their gender beliefs... we sought to determine whether and why their beliefs might feasibly change."
When to Use
- When access truly drove site selection
- In Minimal Context sections
- When extensive contextualization would misrepresent selection logic
- When paired with appropriate scope limitations
When to Avoid
- When other justifications are available
- In longer sections where access seems insufficient
- When intrinsic importance or theoretical fit actually applies
NOTE: This is the rarest justification (9%) and appears primarily in Minimal Context. Use sparingly.
---
Justification Strategy Distribution by Cluster
| Strategy | Minimal | Standard | Deep Historical | Comparative | Policy-Driven |
|---|---|---|---|---|---|
| Intrinsic-Interest | 60% | 36% | 20% | 14% | 100% |
| Theoretical-Fit | 0% | 36% | 40% | 0% | 0% |
| Empirical-Extremity | 20% | 9% | 40% | 14% | 0% |
| Variation-Leverage | 0% | 0% | 0% | 57% | 0% |
| Access-Driven | 20% | 0% | 0% | 14% | 0% |
Key Patterns
1. Policy-Driven uses Intrinsic-Interest exclusively (100%) 2. Comparative requires Variation-Leverage (57% - signature strategy) 3. Deep Historical splits between Theoretical-Fit and Empirical-Extremity 4. Standard Context is balanced between Intrinsic-Interest and Theoretical-Fit 5. Access-Driven is rare and limited to Minimal Context
---
Choosing a Justification Strategy
Decision Framework
1. Is this a Comparative section? → Variation-Leverage (required)
2. Is this a Policy-Driven section? → Intrinsic-Interest (policy matters in its own right)
3. Is the case empirically distinctive (first, most, extreme)? → Empirical-Extremity
4. Does the case provide ideal conditions for theory? → Theoretical-Fit
5. Is the case important beyond theory? → Intrinsic-Interest
6. Was access the primary reason for site selection? → Access-Driven (use sparingly, Minimal only)
Combining Strategies
Some sections combine strategies. For example:
- Deep Historical might use both Empirical-Extremity (Nashville as significant movement center) AND Theoretical-Fit (ideal conditions for studying relational networks)
- Standard Context might use both Intrinsic-Interest (policy relevance) AND Theoretical-Fit (case illuminates process)
When combining, lead with the primary justification.
---
Common Errors
Weak Justifications to Avoid
- "This case is interesting" - Too vague; specify why
- "Little research has examined X" - This is literature gap, not case justification
- "I had access" - Insufficient for most sections
- "This case is typical" - Why not study another typical case?
Stronger Alternatives
- Weak: "Portland is an interesting case."
- Strong: "Despite its overall demographic homogeneity, the Portland metropolitan area is home to some of the most racially diverse communities in the state of Oregon."
- Weak: "We had access to this organization."
- Strong: "Given this interest, we were fortunate to gain access to students in a sociology course about why the gender gap in leadership exists." [Note: combines access with theoretical purpose]
---
Templates by Strategy
Intrinsic-Interest Template
"[Site/Case] is [notable characteristic]. [Evidence of significance - e.g., policy changes, public attention, scholarly debate]. This [policy/situation/context] makes [site] a [valuable/important/revealing] case for understanding [phenomenon]."
Theoretical-Fit Template
"[Site/Case] presents a valuable case for understanding [theoretical concept/process] because [conditions present at site]. These conditions allow us to observe [theoretical mechanism] in action."
Empirical-Extremity Template
"[Site/Case] was [the first/most significant/one of the most important] [empirical characteristic]. [Evidence supporting extreme status]. We have [unusually rich data/unique access] on [aspect]."
Variation-Leverage Template
"By comparing [Site A] and [Site B], we can examine [analytical payoff]. [Site A] provides [characteristics], while [Site B] provides [contrasting characteristics]. This variation enables us to [isolate/test/examine] [mechanism/scope condition]."
Access-Driven Template
"Given [research interest/theoretical concern], we gained access to [site/population]. While [appropriate scope limitation], this opportunity allowed us to examine [phenomenon]."
Opening Moves: Case Justification Sections
This guide presents the five opening move types identified in the 32-article corpus, with examples and usage guidance.
---
Overview
| Opening Type | Prevalence | Best For |
|---|---|---|
| Phenomenon-Site-Link | 50% | All clusters (versatile) |
| Geographic-Introduction | 19% | Standard, Comparative |
| Institutional-Description | 16% | Standard, Comparative |
| Research-Setting | 9% | Minimal |
| Historical-Periodization | 6% | Deep Historical, Policy-Driven |
---
Type A4: Phenomenon-Site-Link (50%)
The most common opening connects the phenomenon under study to the research site. This opening establishes both what you're studying and where, positioning them in relation to each other.
Pattern
"[Phenomenon] + [Site Connection]"
Examples
Standard Context:
"With the formalization of a labor-export policy in the mid-1970s, the Indonesian government entered the labor brokerage industry."
"Ghostwriting is not a new form of work."
Deep Historical:
"This section lays the groundwork for the subsequent analysis of the role of relational networks within the broader Cairo-based political opposition during the January 25 Uprising."
"The definitively populist Yellow Vest movement explicitly rejects leadership, unions, parties, nationalism, right-wing or left-wing identifications, xenophobia, and business interests."
Policy-Driven:
"The deportation-carceral system reflects three key changes in immigration enforcement since the 1990s."
"Despite its overall demographic homogeneity, the Portland metropolitan area is home to some of the most racially diverse communities in the state of Oregon."
When to Use
- When you want to immediately connect your theoretical concerns to the empirical case
- When the phenomenon is more important than the site's geographic identity
- Works across all clusters
When to Avoid
- When readers need geographic orientation first
- When the site has distinctive features that should lead
---
Type A2: Geographic-Introduction (19%)
Opens with the site's geographic identity and characteristics. Common in Standard Context and Comparative clusters where location matters.
Pattern
"[Site] is [geographic description]."
Examples
Standard Context:
"Kansas is a re-emerging destination for Latina/o immigrants."
"The UAE is a small Islamic federation of nearly ten million residents in the Arab Gulf."
Comparative:
"In 2011, the District of Columbia lost its minority-majority status."
When to Use
- When the site is not widely known and needs introduction
- When geographic features are analytically important
- When establishing regional context matters
When to Avoid
- When the site is well-known (unnecessary)
- When phenomenon matters more than location
- In Deep Historical (history should lead) or Policy-Driven (policy should lead)
---
Type A3: Institutional-Description (16%)
Opens with a description of the institution, organization, or organizational field being studied.
Pattern
"[Institution/Organization] [does/includes/is characterized by X]."
Examples
Minimal Context:
"This network of colleges includes over 215,000 students, 21,000 faculty, and over two million living alumni."
Comparative:
"The first research site was an affluent suburban county in the South that housed two school districts."
Policy-Driven:
"In New York State, the site of this study, the child support agency is charged with opening a child support case, establishing paternity, and locating noncustodial parents."
When to Use
- When studying a specific organization or institution
- When institutional features define the case
- In Comparative sections when describing sites as organizations
When to Avoid
- When the site is geographic rather than organizational
- When policy context should lead
---
Type A5: Research-Setting (9%)
Opens with a statement about the research project or data collection context. Most common in Minimal Context, especially for mixed-methods designs.
Pattern
"[Data/Study description] + [brief context]"
Examples
Minimal Context:
"The data we present here were collected as part of a study of police traffic stops and their effects on police-community relations."
"While others have interviewed young people about their gender beliefs and show the consequences of their beliefs for inequality, we sought to determine whether and why their beliefs might feasibly change."
When to Use
- When the study design or data source needs front-and-center positioning
- In mixed-methods studies where qualitative follows quantitative
- When access or timing defines the research opportunity
- Primarily in Minimal Context
When to Avoid
- When readers need substantive case context
- In longer sections (Standard, Deep Historical, Comparative)
- When this would read as purely methodological
---
Type A1: Historical-Periodization (6%)
Opens with a temporal marker or historical statement that positions the case in time. Signature opening for Deep Historical and Policy-Driven.
Pattern
"[Time marker/Historical statement about when phenomenon began/emerged]"
Examples
Deep Historical:
"A latecomer in the contemporary women's movement, the U.S. anti-domestic violence movement or the 'battered women's movement' began in 1973..."
"The year 2011 was an important moment in the political history of contemporary Russia, the year of Parliamentary elections that sparked mass protests in big Russian cities, the largest in two decades."
Policy-Driven:
"A hallmark of the Canadian social policy climate of the 1990s, social assistance reform was constituted as necessary to address government debts and deficits - the fiscal crisis of the welfare state."
When to Use
- When historical development is central to the case
- In social movement studies
- When tracing policy evolution
- When the case has a clear origin date
When to Avoid
- When historical context is background, not foreground
- In Minimal or Standard Context (unless brief historical note)
- When readers need geographic orientation first
---
Opening Move Distribution by Cluster
| Opening Move | Minimal | Standard | Deep Historical | Comparative | Policy-Driven |
|---|---|---|---|---|---|
| Phenomenon-Site-Link | 40% | 45% | 60% | 43% | 75% |
| Geographic-Introduction | 0% | 27% | 0% | 14% | 0% |
| Institutional-Description | 20% | 18% | 0% | 29% | 0% |
| Historical-Periodization | 0% | 0% | 40% | 0% | 25% |
| Research-Setting | 40% | 9% | 0% | 14% | 0% |
---
Prohibited Openings (All Clusters)
Never open with:
- Metadiscourse: "In this section, I will describe..."
- Passive hedges: "It is important to note that..."
- Self-reference: "My research setting is..."
- Purpose statements: "The purpose of this section is to..."
- Backwards reference: "As mentioned above..."
Instead, dive directly into substantive case information.
---
Choosing an Opening Move
Decision Framework
1. Is the phenomenon more important than the site? → Phenomenon-Site-Link
2. Do readers need geographic orientation? → Geographic-Introduction
3. Is this an organizational study? → Institutional-Description
4. Is this mixed-methods or access-driven? → Research-Setting
5. Is historical development central? → Historical-Periodization
Default Recommendation
When unsure, use Phenomenon-Site-Link. At 50% prevalence, it's the most common and most versatile opening. It works across all clusters and immediately connects theory to empirics.
Transitions: Case Justification Sections
How case justification sections end and transition to the next section (typically Methods). This guide presents the four transition patterns identified in the 32-article corpus.
---
Overview
| Transition Type | Prevalence | Description |
|---|---|---|
| Implicit | 66% | Section ends; structure carries readers forward |
| Integrated | 22% | Methods content folded into case section |
| Data-Preview | 6% | Brief mention of what data will show |
| Bridge-Statement | 6% | Explicit question or statement connecting to theory |
---
Type E3: Implicit Transition (66%)
The most common approach: the section simply ends, and the structural break to the next section (usually Methods) carries readers forward without explicit transition language.
Pattern
Section concludes with final substantive statement. No transition phrase. Next section begins.
Examples
Standard Context:
"This anti-immigrant context emerges from a long history of immigration policies that criminalize undocumented migration and racialize illegality, linking stereotypes of Mexican origin to perceptions of illegality."
>
[Section ends. Methods section begins.]
Deep Historical:
"The vignettes presented in this section provided a broad overview of four major episodes of collective contestation involving the Cairo-based political opposition during the decade preceding the 2011 uprising, showing how relational networks within and across different movement organizations in this sector emerged and evolved over time."
>
[Section ends. Analysis or Methods begins.]
Policy-Driven:
"New laws also made it harder for deportees to fight their cases, enabling expedited removal without due process or judicial review."
>
[Section ends. Theory section follows.]
When to Use
- Default for all clusters
- When structure is clear and readers don't need explicit guidance
- When the section ends on a strong substantive note
Cluster Distribution
- Minimal: 60%
- Standard: 73%
- Deep Historical: 80%
- Comparative: 43%
- Policy-Driven: 75%
---
Type E4: Integrated Transition (22%)
Methods content is woven into the case section itself, so there's no need for a sharp transition - the section already contains methodological information.
Pattern
Case section includes interview details, sample description, or data collection information. Methods section may be abbreviated or absent.
Examples
Comparative (signature transition - 43%):
"Interviews lasted 45 minutes on average. All interviews occurred in the SROs' assigned schools throughout the regular school day and covered a variety of topics related to the implementation of SROs in the district."
Standard Context:
"Our sample included 47 participants who completed semi-structured interviews lasting 60-90 minutes."
What Gets Integrated
- Interview duration and format
- Sample size and composition
- Data collection location
- Brief protocol description
When to Use
- When describing multiple sites (Comparative) - sample details per site
- When methods are straightforward and brief
- When tight word limits require compression
Cluster Distribution
- Minimal: 20%
- Standard: 18%
- Deep Historical: 20%
- Comparative: 43% (signature)
- Policy-Driven: 0%
NOTE: Integrated transitions are the signature pattern for Comparative sections because describing each site naturally includes information about sampling at each site.
---
Type E1: Data-Preview Transition (6%)
Brief mention of what the data or analysis will show, setting up the transition to findings or methods.
Pattern
"While the focus of this paper is on [X], [brief mention of what data will show]..."
Examples
Minimal Context:
"While the focus of this paper is on the analysis of the interview data, some findings from the survey of staff will be included."
Standard Context:
"Through statistical analyses of these data, we did not find consistent patterns of racial disparities in who gets stopped citywide... However, we did find significant disparities in several post-stop outcomes."
When to Use
- In mixed-methods studies when transitioning from quantitative to qualitative
- When briefly foreshadowing findings
- Primarily in Minimal Context
Cluster Distribution
- Minimal: 20%
- Standard: 9%
- Deep Historical: 0%
- Comparative: 0%
- Policy-Driven: 0%
---
Type E2: Bridge-Statement Transition (6%)
An explicit statement, often a question, that connects the case context to what theory will address.
Pattern
"This paper addresses [contradiction/puzzle] by asking: [research question]?"
Examples
Policy-Driven:
"This paper addresses Portland's contradictions by asking: how are these contradictory realities reconciled in the lives of Portlanders of color?"
Standard Context:
"How do women navigate these competing expectations? The analysis below examines..."
When to Use
- When ending with a question that theory will address
- In Policy-Driven sections (where case precedes theory)
- When emphasizing the puzzle your research addresses
Cluster Distribution
- Minimal: 0%
- Standard: 0%
- Deep Historical: 0%
- Comparative: 14%
- Policy-Driven: 25%
NOTE: Bridge-Statements are most common in Policy-Driven sections because these sections set up the puzzle that the theory section will address.
---
Transition Patterns by Cluster
| Cluster | Implicit | Integrated | Data-Preview | Bridge-Statement |
|---|---|---|---|---|
| Minimal | 60% | 20% | 20% | 0% |
| Standard | 73% | 18% | 9% | 0% |
| Deep Historical | 80% | 20% | 0% | 0% |
| Comparative | 43% | 43% | 0% | 14% |
| Policy-Driven | 75% | 0% | 0% | 25% |
Key Patterns
1. Implicit dominates - 66% overall, majority in every cluster 2. Integrated is Comparative's signature - 43% (methods per site) 3. Bridge-Statement appears in Policy-Driven - 25% (setting up theory) 4. Data-Preview is Minimal only - mixed-methods studies
---
Choosing a Transition Type
Decision Framework
1. Is this a Comparative section with methods per site? → Integrated (describe methods within site descriptions)
2. Is this Policy-Driven, setting up a theoretical puzzle? → Bridge-Statement or Implicit
3. Is this mixed-methods with quantitative findings previewed? → Data-Preview
4. Is the structure clear without explicit transition? → Implicit (default)
Default Recommendation
When unsure, use Implicit. At 66% prevalence, it's the norm. Explicit transitions can sound labored or unnecessary when structure is clear.
---
Common Errors
Over-Transitioning
Avoid:
"Having described the research context, I now turn to the methods section, where I describe how I collected and analyzed the data."
This is unnecessary metadiscourse. The structural break is sufficient.
Under-Transitioning When Bridge Needed
Policy-Driven sections that set up puzzles benefit from Bridge-Statements:
Weak ending (for Policy-Driven):
"The Ontario Works Act slashed benefits by 21.6 percent."
Stronger ending (with Bridge):
"This context raises the question: how do recipients navigate a system explicitly designed to degrade them?"
---
Templates by Transition Type
Implicit Template
[Final substantive statement about the case. Period.]
>
## Methods
[New section begins]
Integrated Template
[Site/case description]. Interviews with [N] respondents were conducted between [dates], lasting [duration]. Participants were recruited through [channels].
>
[Continue with analysis or brief additional methods]
Data-Preview Template
While the focus of this paper is on [primary data type], [secondary data type] will also be discussed. [Brief preview of what data reveal].
>
## Methods
[New section begins]
Bridge-Statement Template
[Statement of puzzle or contradiction established by case context]. This paper addresses this [puzzle/contradiction] by asking: [research question]?
>
## Theoretical Framework
[Theory section begins]
---
Special Considerations
Position Affects Transition Choice
BEFORE theory (Policy-Driven only):
- Bridge-Statement is appropriate
- Section sets up the puzzle that theory addresses
- Research question can end the section
AFTER theory (all other clusters):
- Implicit is default
- Integrated works for Comparative
- Data-Preview for mixed-methods
Don't Force Explicit Transitions
If the section ends strongly and structure is clear, let it be. Explicit transitions often add words without adding meaning. The 66% prevalence of Implicit transitions indicates that readers navigate structural breaks effectively.