L Library & Archive
The collection distinguishes public guidance, project analysis, and internal research leads. A record in this library is not a claim that every underlying source has been peer reviewed or cleared for public distribution.
Collection
External links open only when a lawful public access route is known. Internal report bodies remain unpublished pending provenance, rights, sensitivity, and claim review.
Used as an input for informed consent, narrator review, preservation, access, and limits on promises. Referencing it does not imply OHA approval of this project.
Citation: Oral History Association. “OHA Statement on Ethics.” Principles and Best Practices suite.
Used to shape future oral-history preparation, interviewing, preservation, and access procedures. It is an input, not a certification.
Citation: Oral History Association. “Principles and Best Practices for Oral History.”
Used as an input for context-sensitive internet-research ethics and privacy decisions. Referencing it does not imply AoIR review or approval.
Citation: Association of Internet Researchers. “Internet Research: Ethical Guidelines 3.0” and ethics resources. 2019.
Accessibility target reference. The project does not claim WCAG conformance solely from automated checks.
Citation: W3C. “Web Content Accessibility Guidelines (WCAG) 2.2.” W3C Recommendation, 12 December 2024.
Research input preserved for source tracing. Assertions in this report are leads to verify, not automatically accepted findings.
Citation: The Anatomy of Successful Revolutions: A Comparative Macro-Historical Analysis of Communist and Non-Communist Uprisings. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
Research input preserved for source tracing. Assertions in this report are leads to verify, not automatically accepted findings.
Citation: Elite Fracture: Why Unity at the Top Often Matters More Than Anger at the Bottom. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: The Final Synthesis: Build a Non-Ideological Model of Revolutionary Success and Failure. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: The Orange Revolution: Anatomy of a Democratic Awakening and its Geopolitical Echoes. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Security Forces and the Loyalty Threshold: The Mechanics of Institutional Cohesion and Collapse in Revolutionary Crises. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: The Sociology of Revolution: A Comparative Historical Analysis of State Breakdown and Movement Efficacy. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: The Sociology of Revolutionary Success and Failure: Structural Preconditions, Institutional Loyalty, and 21st-Century Dynamics. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Analysis of Radical Political Sites. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: BuiltToResist: A Definitive Reference Architecture for Revolution, Resistance, Institutional Fracture, and Political Transformation. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: BuiltToResist: Guided Learning Paths from Novice to Expert Understanding. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: BuiltToResist: Information Architecture for a 10,000+ Page Encyclopedia of Revolution and Resistance. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: BuiltToResist External Link Library: Strategic Curation and Research Quality Report. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: BuiltToResist Revolution Hub: Content-Gap Analysis and 120-Page Expansion Map. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
Research input preserved for source tracing. Assertions in this report are leads to verify, not automatically accepted findings.
Citation: The Architecture of Dissent: A Comprehensive Evaluation of Global Revolution and Resistance Archives. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
Research input preserved for source tracing. Assertions in this report are leads to verify, not automatically accepted findings.
Citation: Information Architecture and Semantic Graph Schema for BuiltToResist: An Encyclopedia of Revolution and Resistance. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
Research input preserved for source tracing. Assertions in this report are leads to verify, not automatically accepted findings.
Citation: External-Link Policy and Selection Criteria. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Legal Reference: Revolution, Protest, and State Authority. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Competitive Analysis of Revolutionary and Radical Knowledge Hubs: Architecting a Digital Destination. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: The Architecture of Trust: A Credibility Framework for Radical Political Research. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Revolutionary Outcomes and the Day After: The Mechanics of Post-Rupture Political Order. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Radical & Anti-Authoritarian Web Ecosystem Map. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Radical Political Media and Publishing Landscape. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Revolution & Resistance: Research Questions and Insights. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Revolution Hub Content Gap Analysis: Strategic Blueprint for BuiltToResist. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Architecture of Resistance and State Authority: A Database and Legal Reference Report. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: The Architecture of Resistance: A Strategic Design Blueprint for BuiltToResist.com. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
Research input preserved for source tracing. Assertions in this report are leads to verify, not automatically accepted findings.
Citation: Reader Journey Research: From Curiosity to Expert Understanding. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
Research input preserved for source tracing. Assertions in this report are leads to verify, not automatically accepted findings.
Citation: Revolution Research Hub: Key Audiences and Questions. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Architecting Civic Knowledge: A Structural Analysis of Contentious Politics and Answer Engine Optimization. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Revolution and Resistance Turning-Point Database. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Directory of Revolutionary, Liberation, and Resistance Movements: A Comparative Encyclopedic Analysis. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
Research input preserved for source tracing. Assertions in this report are leads to verify, not automatically accepted findings.
Citation: Revolutionary Outcomes and the Day After: A Comparative Knowledge Model. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
Research input preserved for source tracing. Assertions in this report are leads to verify, not automatically accepted findings.
Citation: Revolutionary and Liberation Movement Directory: Research Architecture and Launch Corpus. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
Research input preserved for source tracing. Assertions in this report are leads to verify, not automatically accepted findings.
Citation: The World’s Best Revolution and Resistance Archives. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: Legal Reference Desk for Revolution, Protest, Resistance, and State Authority. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
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Citation: What Makes a Revolution Website Trustworthy? A Credibility Architecture for BuiltToResist. Owner-supplied research report preserved in the Unprogrammable.org research workspace, 2026.
Foundational review documenting a mature but unresolved repression literature and persistent puzzles in how coercion interacts with dissent. Used to support the dossier’s core claim that there is no context-free repression effect.
Citation: Davenport, Christian. “State Repression and Political Order.” Annual Review of Political Science 10 (2007): 1–23. https://doi.org/10.1146/annurev.polisci.10.101405.143216
Early formal account showing why repression can produce substitution, deterrence, or escalation rather than one uniform response. Included as intellectual background, not as a final empirical verdict.
Citation: Lichbach, Mark Irving. “Deterrence or Escalation? The Puzzle of Aggregate Studies of Repression and Dissent.” Journal of Conflict Resolution 31, no. 2 (1987): 266–297. https://doi.org/10.1177/0022002787031002003
Supports treating repression as layered and multidisciplinary rather than reducing it to visible police violence alone.
Citation: Earl, Jennifer, and Jessica Maves Braithwaite. “Layers of Political Repression: Integrating Research on Social Movement Repression.” Annual Review of Law and Social Science 18 (2022): 227–248. https://doi.org/10.1146/annurev-lawsocsci-050520-092713
Event-data study finding selective arrests away from demonstrations were associated with reduced protest rates while indiscriminate violence during demonstrations was associated with increased protest rates in the Gezi campaign. The result is case-specific, not a universal rule.
Citation: Demirel-Pegg, Tijen, and Karen Rasler. “The Effects of Selective and Indiscriminate Repression on the 2013 Gezi Park Nonviolent Resistance Campaign.” Sociological Perspectives 64, no. 1 (2021): 58–81. https://doi.org/10.1177/0731121420914291
Natural-experiment evidence that selective repression reduced support for police, especially among opposition supporters. Important counterevidence to any claim that targeted repression necessarily avoids legitimacy costs.
Citation: Curtice, Travis. “How Repression Affects Public Perceptions of Police: Evidence from a Natural Experiment in Uganda.” Journal of Conflict Resolution 65, no. 10 (2021): 1680–1708. https://doi.org/10.1177/00220027211013097
Panel-data evidence that local exposure to repression increased protest willingness among opposition supporters and nonpartisans despite higher perceived risk; relational and emotional mechanisms were more consistent with the backlash effect than simple risk updating.
Citation: LeBas, Adrienne, and Lauren E. Young. “Repression and Dissent in Moments of Uncertainty: Panel Data Evidence from Zimbabwe.” American Political Science Review 118, no. 2 (2024): 584–601. https://doi.org/10.1017/S0003055423000230
Historical U.S. evidence that protest tactics and repression interacted with media framing, elite discourse, public opinion, and voting. Useful for showing that public interpretation is part of the feedback loop; not generalizable as a universal protest law.
Citation: Wasow, Omar. “Agenda Seeding: How 1960s Black Protests Moved Elites, Public Opinion and Voting.” American Political Science Review 114, no. 3 (2020): 638–659. https://doi.org/10.1017/S000305542000009X
Qualitative comparative analysis of deadly repression events in Bolivia finds backfire did not require strict protester nonviolence. This directly limits stronger versions of the “political jiu-jitsu requires nonviolence” claim.
Citation: Bjork-James, Carwil. “When Does Lethal Repression Fail? Unarmed Militancy and Backfire in Bolivia, 1982–2021.” Journal of Latin American Studies (2024).
Survey experiment in Istanbul showing that declaring a protest banned increased approval of subsequent police repression and stronger intervention. Demonstrates that legal framing can alter the public-legitimacy environment around coercion.
Citation: Arslanalp, Mert, Ulaş Erdoğdu, and T. Deniz Erkmen. “Do protest bans make police repression more acceptable? Experimental evidence on the effects of legal repression from Turkey.” Journal of Peace Research, published September 2, 2026. https://doi.org/10.1093/jopres/xjag060
Three-wave Netherlands panel evidence: low and declining political trust predicted lower support for representative decision-making and greater support for direct democracy, but did not increase support for authoritarianism. Used as counterevidence to treating distrust as equivalent to anti-democratic preference.
Citation: Ouattara, Ebe, and Tom van der Meer. “Distrusting democrats: A panel study into the effects of structurally low and declining political trust on citizens’ support for democratic reform.” European Journal of Political Research 62, no. 4 (2023): 1101–1121. https://doi.org/10.1111/1475-6765.12561
Cross-national and experimental evidence distinguishing ideological congruence from instrumentality: satisfaction was higher when a congruent party also had a realistic chance of entering government. Supports measuring viable/consequential choice separately from nominal choice breadth.
Citation: Hobolt, Sara B., Julian M. Hoerner, and Toni Rodon. “Having a say or getting your way? Political choice and satisfaction with democracy.” European Journal of Political Research 60, no. 4 (2021): 854–873. https://doi.org/10.1111/1475-6765.12429
Shows that perceived ideological incongruence is associated with lower satisfaction even when objective congruence is controlled. Included to prevent the dossier from treating perceived political agency as a transparent readout of institutional structure.
Citation: Carroll, Royce, Yen-Chieh Liao, and Li Tang. “(Mis)perception of party congruence and satisfaction with democracy.” Political Science Research and Methods 13, no. 4 (2025): 885–902. https://doi.org/10.1017/psrm.2024.48
Cross-national evidence that electoral systems can shape efficacy and participation, especially for political minorities, while broad coalitions in proportional systems can also reduce efficacy. Used to reject a no-tradeoff institutional fix.
Citation: Karp, Jeffrey A., and Susan A. Banducci. “Political Efficacy and Participation in Twenty-Seven Democracies: How Electoral Systems Shape Political Behaviour.” British Journal of Political Science 38, no. 2 (2008): 311–334. https://doi.org/10.1017/S0007123408000161
Review emphasizing that electoral-rule effects operate through behavioral incentives that are strongly conditioned by social and political context. Used against deterministic versions of Duverger-style claims.
Citation: Ferree, Karen E., G. Bingham Powell, and Ethan Scheiner. “Context, Electoral Rules, and Party Systems.” Annual Review of Political Science 17 (2014): 421–439. https://doi.org/10.1146/annurev-polisci-102512-195419
Negative case for mechanical two-party expectations: plurality rules did not produce pervasive strategic voting in the studied Indian election because voter beliefs and information conditions disrupted the expected coordination mechanism.
Citation: Heath, Oliver, and Adam Ziegfeld. “Why So Little Strategic Voting in India?” American Political Science Review 116, no. 4 (2022): 1403–1417. https://doi.org/10.1017/S0003055422000259
Evidence that primary electorates can influence nominee ideology and that candidates respond to different electoral constituencies. Supports treating nomination-stage influence as a distinct part of political agency without equating it with total elite control.
Citation: Nielson, Lindsay, and Neil Visalvanich. “Primaries and Candidates: Examining the Influence of Primary Electorates on Candidate Ideology.” Political Science Research and Methods. Published online 2015. https://doi.org/10.1017/psrm.2015.60
Finds reciprocal agenda dynamics during the 113th U.S. Congress, with legislators more often following shifts in public issue attention than leading them, particularly for party supporters. Counters a purely top-down agenda-control model while showing responsiveness is uneven.
Citation: Barberá, Pablo, Andreu Casas, Jonathan Nagler, Patrick J. Egan, Richard Bonneau, John T. Jost, and Joshua A. Tucker. “Who Leads? Who Follows? Measuring Issue Attention and Agenda Setting by Legislators and the Mass Public Using Social Media Data.” American Political Science Review 113, no. 4 (2019): 883–901. https://doi.org/10.1017/S0003055419000352
Review finds substantial evidence that shifts in U.S. mass opinion are followed by policy change, while majority-policy congruence is less complete. Included as counterevidence to claims that citizens have no policy influence.
Citation: Canes-Wrone, Brandice. “From Mass Preferences to Policy.” Annual Review of Political Science 18 (2015): 147–165. https://doi.org/10.1146/annurev-polisci-050311-165552
Reviews evidence of unequal political representation alongside evidence that policy often moves with public opinion, including directions favored by lower-income voters. Supports asking whose preferences influence policy rather than treating responsiveness as simply present or absent.
Citation: Erikson, Robert S. “Income Inequality and Policy Responsiveness.” Annual Review of Political Science 18 (2015): 11–29. https://doi.org/10.1146/annurev-polisci-020614-094706
Argues that aggregate responsiveness measures can conceal unequal signaling power, agenda access, and policymaker response across groups. Used to make distributional inequality a first-order part of the agency model.
Citation: Markarian, G. Agustin. “Responsive to whom? The inequality problem in studies of policy responsiveness.” Journal of Public Policy 46, no. 2 (2026): 223–231. https://doi.org/10.1017/S0143814X26101044
Cross-national evidence that election losers are generally less satisfied than winners and that institutional design can change the size and distribution of that gap. Supports treating losing, fairness, and institutional context separately from regime rejection.
Citation: Anderson, Christopher J., and Christine A. Guillory. “Political Institutions and Satisfaction with Democracy: A Cross-National Analysis of Consensus and Majoritarian Systems.” American Political Science Review 91, no. 1 (1997): 66–81. https://doi.org/10.2307/2952259
Comparative account of how losing elections affects legitimacy and how political institutions shape willingness to accept loss. Important counter to treating electoral defeat as permanent exclusion or automatic system rejection.
Citation: Anderson, Christopher J., André Blais, Shaun Bowler, Todd Donovan, and Ola Listhaug. Losers’ Consent: Elections and Democratic Legitimacy. Oxford University Press, 2005. https://doi.org/10.1093/0199276382.001.0001
Finds mixed institutional effects: some consensus/direct-democratic institutions were associated with higher satisfaction and smaller winner-loser gaps, while other consensus dimensions reduced winner satisfaction without improving loser satisfaction. Used against simplistic institutional rankings.
Citation: Bernauer, Julian, and Adrian Vatter. “Can’t get no satisfaction with the Westminster model? Winners, losers and the effects of consensual and direct democratic institutions on satisfaction with democracy.” European Journal of Political Research 51, no. 4 (2012): 435–468. https://doi.org/10.1111/j.1475-6765.2011.02007.x
Reviews the measurement and conceptual ambiguity of satisfaction-with-democracy surveys. Used to prevent the dossier from treating dissatisfaction with system performance as identical to diffuse support for democracy.
Citation: Singh, Shane P., and Quinton Mayne. “Satisfaction with Democracy: A Review of a Major Public Opinion Indicator.” Public Opinion Quarterly 87, no. 1 (2023): 187–218. https://doi.org/10.1093/poq/nfad003
Survey evidence from Guatemala, Nepal, and Northern Ireland found support for political violence rose with grievance and fell with perceived political efficacy, with some interaction. Included only as a bounded post-conflict finding; it is not generalized to U.S. politics or the Unprogrammable movement.
Citation: Dyrstad, Karin, and Solveig Hillesund. “Explaining Support for Political Violence: Grievance and Perceived Opportunity.” Journal of Conflict Resolution 64, no. 9 (2020): 1724–1753. https://doi.org/10.1177/0022002720909886
Develops a resource model in which time, money, and civic skills support political participation. Used to show why material strain can reduce capacity to act even when grievance increases.
Citation: Brady, Henry E., Sidney Verba, and Kay Lehman Schlozman. “Beyond SES: A Resource Model of Political Participation.” American Political Science Review 89, no. 2 (1995): 271–294. https://doi.org/10.2307/2082425
Meta-analysis showing perceived injustice, collective efficacy, and social identity as distinct predictors of collective action. Used to separate objective hardship from grievance interpretation and mobilizing capacity.
Citation: van Zomeren, Martijn, Tom Postmes, and Russell Spears. “Toward an Integrative Social Identity Model of Collective Action: A Quantitative Research Synthesis of Three Socio-Psychological Perspectives.” Psychological Bulletin 134, no. 4 (2008): 504–535. https://doi.org/10.1037/0033-2909.134.4.504
Reviews evidence that job loss and income shocks can move political attitudes, often transiently, while effects on voting are smaller and more context dependent.
Citation: Margalit, Yotam. “Political Responses to Economic Shocks.” Annual Review of Political Science 22 (2019): 277–295. https://doi.org/10.1146/annurev-polisci-050517-110713
Examines how economic grievances relate to protest and emphasizes the mixed empirical relationship between hardship and participation. Used against one-way hardship-to-mobilization assumptions.
Citation: Kurer, Thomas, Silja Häusermann, Bruno Wüest, and Matthias Enggist. “Economic grievances and political protest.” European Journal of Political Research 58, no. 3 (2019): 866–892. https://doi.org/10.1111/1475-6765.12318
Finds protest effects of subjective deprivation are conditioned by macroeconomic and political opportunities. Used to model hardship as interacting with context rather than directly determining protest.
Citation: Grasso, Maria T., and Marco Giugni. “Protest participation and economic crisis: The conditioning role of political opportunities.” European Journal of Political Research 55, no. 4 (2016): 663–680. https://doi.org/10.1111/1475-6765.12153
Swedish register-panel evidence finds modest negative effects of unemployment and job loss on turnout, concentrated among younger people, with workplace socialization moderating the effect.
Citation: Österman, Marcus, and Anton Brännlund. “Unemployment, workplace socialization, and electoral participation: evidence from Sweden.” European Sociological Review 40, no. 1 (2024): 85–98. https://doi.org/10.1093/esr/jcad014
Register evidence finds individual unemployment reduces turnout and, after accounting for dynamic selection, high contextual unemployment reinforces rather than reverses that withdrawal effect.
Citation: Österman, Marcus, and Karl-Oskar Lindgren. “Does high unemployment mobilize the unemployed? Evidence using Swedish register data.” Socio-Economic Review 21, no. 1 (2023): 341–365. https://doi.org/10.1093/ser/mwab042
Administrative-record research links residential eviction to lower voter turnout. Used as evidence that severe housing instability can suppress participation rather than mechanically radicalize it.
Citation: Slee, Gillian, and Matthew Desmond. “Eviction and Voter Turnout: The Political Consequences of Housing Instability.” Politics & Society 51, no. 1 (2023): 3–29. https://doi.org/10.1177/00323292211050716
Foreclosure records show distressed individuals were less likely to vote, while county-level foreclosure increases generally did not yield consistent punishment or reward for the incumbent party.
Citation: Hall, Andrew B., Jesse Yoder, and Nishant Karandikar. “Economic distress and voting: evidence from the subprime mortgage crisis.” Political Science Research and Methods (2021). https://doi.org/10.1017/psrm.2021.3
Pooled U.S. survey evidence finds student-loan debt holders more likely to vote and engage electorally, providing counterevidence to a generic debt-to-withdrawal model.
Citation: Macdonald, David. “Student Loan Debt and Participation in American National Elections.” Political Research Quarterly 78, no. 3 (2025). https://doi.org/10.1177/10659129251331004
Ten-country European analysis links subjective financial and work insecurity to populist outlook and voting, while showing variation by insecurity dimension, country, and political direction.
Citation: Zhirnov, Andrei, Lorenza Antonucci, Jan Philipp Thomeczek, et al. “Precarity and populism: explaining populist outlook and populist voting in Europe through subjective financial and work-related insecurity.” European Sociological Review 40, no. 4 (2024): 704–720. https://doi.org/10.1093/esr/jcad052
German panel evidence links falling short of intergenerational status expectations to abstention, reduced mainstream-party support, and more radical voting, with heterogeneous ideological responses.
Citation: Kurer, Thomas, and Briitta van Staalduinen. “Disappointed Expectations: Downward Mobility and Electoral Change.” American Political Science Review 116, no. 4 (2022): 1340–1356. https://doi.org/10.1017/S0003055422000077
Cross-national microdata associate economic insecurity with institutional mistrust. Used as bounded evidence about confidence, not as proof of regime rejection or revolutionary preference.
Citation: Rohde, Nicholas. “Economic insecurity, nativism, and the erosion of institutional trust.” Journal of Economic Behavior & Organization 212 (2023): 1017–1028. https://doi.org/10.1016/j.jebo.2023.06.009
Twenty-seven-country European analysis links economic distress to lower satisfaction with democracy while finding that democratic quality, trust, and policy responses can buffer the relationship.
Citation: Cavusoglu, Neşe, Barbara Pistoresi, and Luca Poma. “Economic distress, democratic quality, and satisfaction with democracy in Europe during COVID-19: A multilevel approach.” Economic Modelling 150 (2025): 107137. https://doi.org/10.1016/j.econmod.2025.107137
Treats criminal-justice interactions as a source of political socialization and reports a civic penalty associated with custodial involvement. Useful for the institutional-experience pathway, but it does not establish a universal causal effect or a pathway to system rejection.
Citation: Weaver, Vesla M., and Amy E. Lerman. 2010. “Political Consequences of the Carceral State.” American Political Science Review 104(4). https://doi.org/10.1017/S0003055410000456.
Administrative-data study showing that estimated prison effects on voting fall sharply, and sometimes vanish, as selection bias is addressed. Strong counterevidence against treating incarceration itself as a sufficient explanation for low turnout.
Citation: Gerber, Alan S., Gregory A. Huber, Marc Meredith, Daniel R. Biggers, and David J. Hendry. 2017. “Does Incarceration Reduce Voting?” The Journal of Politics 79(4): 1130–1146. https://doi.org/10.1086/692670.
Introduces system avoidance and finds criminal-justice contact associated with reduced interaction with record-keeping institutions such as medical, financial, labor-market, and educational organizations. This is broader institutional withdrawal, not proof of political radicalization.
Citation: Brayne, Sarah. 2014. “Surveillance and System Avoidance: Criminal Justice Contact and Institutional Attachment.” American Sociological Review 79(3): 367–391. https://doi.org/10.1177/0003122414530398.
Develops legal estrangement as a structural lens that extends beyond encounter-level legitimacy. Important for distinguishing respectful procedure from broader experiences of exclusion, marginalization, and unequal protection.
Citation: Bell, Monica C. 2017. “Police Reform and the Dismantling of Legal Estrangement.” Yale Law Journal 126.
Finds consistent associations among perceived procedural justice, legitimacy, and compliance while emphasizing that policy-induced causal effects on legitimacy/compliance remain incompletely established. Useful as a caution against overstating procedural-justice causality.
Citation: Nagin, Daniel S., and Cody W. Telep. 2017. “Procedural Justice and Legal Compliance.” Annual Review of Law and Social Science 13: 5–28. https://doi.org/10.1146/annurev-lawsocsci-110316-113310.
Synthesizes 30 studies and 41 evaluations and reports positive effects of legitimacy-oriented police interventions on satisfaction, confidence, cooperation, and procedural-justice perceptions. Evidence search ended in 2009, so it is used with the later causal cautions in Nagin and Telep.
Citation: Mazerolle, Lorraine, Sarah Bennett, Jacqueline Davis, Elise Sargeant, and Matthew Manning. 2013. “Legitimacy in Policing: A Systematic Review.” Campbell Systematic Reviews 9(1).
Uses arrest timing and administrative turnout data to find short-term demobilization among household members following conviction or jail exposure shortly before an election, but no lasting turnout effect. Shows that proximal exposure and time horizon matter.
Citation: White, Ariel. 2019. “Family Matters? Voting Behavior in Households with Criminal Justice Contact.” American Political Science Review 113(2): 607–613. https://doi.org/10.1017/S0003055418000862.
Shows that criminal-justice experience can sometimes mobilize non-voting participation, especially for people with proximal contact who interpret negative experiences as group-based systemic targeting. A key counterexample to a universal demobilization model.
Citation: Walker, Hannah L. 2020. “Targeted: The Mobilizing Effect of Perceptions of Unfair Policing Practices.” The Journal of Politics 82(1): 119–134. https://doi.org/10.1086/705684.
Finds a complex relationship between imprisonment, community supervision, and neighborhood political participation. Supports studying direct and contextual exposure separately instead of treating “justice-system contact” as one homogeneous treatment.
Citation: Burch, Traci R. 2014. “Effects of Imprisonment and Community Supervision on Neighborhood Political Participation in North Carolina.” The ANNALS 651(1): 184–201. https://doi.org/10.1177/0002716213503093.
Finds no discernible effect of felony disenfranchisement on state-level turnout rates for Black men in its triple-difference design. Useful counterevidence against assuming that formal exclusion automatically creates broad aggregate turnout spillovers.
Citation: Miles, Thomas J. 2004. “Felon Disenfranchisement and Voter Turnout.” The Journal of Legal Studies 33(1): 85–129. https://doi.org/10.1086/381290.
Field experiment in Connecticut found that simple informational outreach to released people with felony convictions could recover a substantial portion of the participation reduction observed after incarceration. Demonstrates that information and reintegration can alter participation trajectories.
Citation: Gerber, Alan S., Gregory A. Huber, Marc Meredith, Daniel R. Biggers, and David J. Hendry. 2015. “Can Incarcerated Felons Be (Re)integrated into the Political System? Results from a Field Experiment.” American Journal of Political Science. https://doi.org/10.1111/ajps.12166.
Virginia field experiment reports higher internal and external political efficacy after information about rights restoration, with the mobilization treatment producing the strongest efficacy effects. Supports institutional self-correction as an empirical pathway rather than assuming exclusion is irreversible.
Citation: Shineman, Victoria. 2020. “Restoring voting rights: evidence that reversing felony disenfranchisement increases political efficacy.” Policy Studies 41(2–3): 131–150. https://doi.org/10.1080/01442872.2019.1694655.
Audit experiment demonstrates that a criminal record can create a substantial employment barrier and documents racial disparities in that penalty. Supports treating collateral consequences as material exclusion mechanisms separate from political attitudes.
Citation: Pager, Devah. 2003. “The Mark of a Criminal Record.” American Journal of Sociology 108(5): 937–975. https://doi.org/10.1086/374403.
Michigan study finds low expungement uptake among eligible people and a sharp improvement in employment/wage trajectories among recipients. It demonstrates that legal record relief can materially alter exclusion, while observational treatment selection cautions against treating every outcome as a clean causal estimate.
Citation: Prescott, J.J., and Sonja B. Starr. 2020. “Expungement of Criminal Convictions: An Empirical Study.” Harvard Law Review 133: 2460–2555.
Point-in-time scope source: at yearend 2023, BJS reported 3.772 million adults under probation or parole supervision and 1.853 million incarcerated in prisons or local jails. These counts describe exposure scale, not political attitudes or movement membership.
Citation: Gann, Shaun, and Danielle Kaeble. 2025. “Correctional Populations in the United States, 2023 – Statistical Tables.” Bureau of Justice Statistics, NCJ 310413.
Documents the breadth and jurisdictional variation of conviction-related legal consequences across U.S. jurisdictions. The inventory warns that entries may lag a recently completed legislative session, so it is a map for verification rather than legal advice.
Citation: National Inventory of Collateral Consequences of Conviction. “Collateral Consequences Inventory.” Accessed September 20, 2026.
Shows how distributions of individual participation thresholds can generate sharply different aggregate outcomes even when average preferences look similar. Useful for explaining nonlinear cascades without assuming sudden ideological conversion.
Citation: Granovetter, Mark. 1978. “Threshold Models of Collective Behavior.” American Journal of Sociology 83(6): 1420–1443. https://doi.org/10.1086/226707.
Distinguishes private from public preferences and explains how sudden public preference revelation can produce surprising cascades. Supports treating visible mobilization as potentially revelatory rather than proof that a catalyst created new underlying beliefs.
Citation: Kuran, Timur. 1991. “Now out of Never: The Element of Surprise in the East European Revolution of 1989.” World Politics 44(1): 7–48. https://doi.org/10.2307/2010422.
Shows that recruitment can occur through existing ties or through moral shocks that reach strangers. Useful for separating event salience and cultural interpretation from network-based recruitment.
Citation: Jasper, James M., and Jane D. Poulsen. 1995. “Recruiting Strangers and Friends: Moral Shocks and Social Networks in Animal Rights and Anti-Nuclear Protests.” Social Problems 42(4): 493–512. https://doi.org/10.2307/3097043.
Develops an eventful-sociology approach in which consequential events are sequences that can durably transform structures. Useful for resisting the idea that any single shocking incident is automatically a self-contained cause.
Citation: Sewell, William H. Jr. 1996. “Historical Events as Transformations of Structures: Inventing Revolution at the Bastille.” Theory and Society 25(6): 841–881. https://doi.org/10.1007/BF00159818.
Shows a protest tactic spreading among structurally similar campuses. Supports distinguishing tactical imitation from ideological conversion or proof that the copied tactic was effective.
Citation: Soule, Sarah A. 1997. “The Student Divestment Movement in the United States and Tactical Diffusion: The Shantytown Protest.” Social Forces 75(3): 855–882. https://doi.org/10.1093/sf/75.3.855.
Reviews structural and cultural channels of diffusion and emphasizes that practices spread at different rates through different pathways. Useful as a general guardrail against treating diffusion as a single contagion process.
Citation: Strang, David, and Sarah A. Soule. 1998. “Diffusion in Organizations and Social Movements: From Hybrid Corn to Poison Pills.” Annual Review of Sociology 24: 265–290. https://doi.org/10.1146/annurev.soc.24.1.265.
Shows that a protest tactic can diffuse because media and cultural framing construct it as successful even when evidence of effectiveness is weak. Direct counterevidence to equating diffusion with strategic success.
Citation: Soule, Sarah A. 1999. “The Diffusion of an Unsuccessful Innovation.” The ANNALS of the American Academy of Political and Social Science 566(1). https://doi.org/10.1177/000271629956600110.
Compares organizational, network, and news-media channels in the spread of 1960 sit-ins. Supports a multi-channel diffusion model rather than a purely viral or purely organizational account.
Citation: Andrews, Kenneth T., and Michael Biggs. 2006. “The Dynamics of Protest Diffusion: Movement Organizations, Social Networks, and News Media in the 1960 Sit-Ins.” American Sociological Review 71(5): 752–777. https://doi.org/10.1177/000312240607100503.
Finds high-risk participation associated with prior activism, organizational affiliations, and stronger ties to other participants. Useful counterweight to claims that attention or weak online exposure alone explains costly participation.
Citation: McAdam, Doug. 1986. “Recruitment to High-Risk Activism: The Case of Freedom Summer.” American Journal of Sociology 92(1): 64–90. https://doi.org/10.1086/228463.
Shows that the recruitment effects of social ties depend on the content and context of relationships, including conflicting pressures from multiple networks. Useful against a generic “more connected = more mobilized” claim.
Citation: McAdam, Doug, and Ronnelle Paulsen. 1993. “Specifying the Relationship Between Social Ties and Activism.” American Journal of Sociology 99(3): 640–667. https://doi.org/10.1086/230319.
Separates movement sympathy, targeting by recruitment, motivation, and overcoming participation barriers. Core evidence that attention or agreement does not automatically convert into participation.
Citation: Klandermans, Bert, and Dirk Oegema. 1987. “Potentials, Networks, Motivations, and Barriers: Steps Towards Participation in Social Movements.” American Sociological Review 52(4): 519–531. https://doi.org/10.2307/2095297.
Examines erosion and nonconversion among sympathizers. Useful for distinguishing large attentive or sympathetic publics from actual recruited and durable participant populations.
Citation: Oegema, Dirk, and Bert Klandermans. 1994. “Why Social Movement Sympathizers Don’t Participate: Erosion and Nonconversion of Support.” American Sociological Review 59(5): 703–722. https://doi.org/10.2307/2096444.
Argues that behaviors requiring social reinforcement can diffuse differently from simple information: multiple reinforcing exposures and wide network bridges can matter more than single long ties.
Citation: Centola, Damon, and Michael Macy. 2007. “Complex Contagions and the Weakness of Long Ties.” American Journal of Sociology 113(3): 702–734. https://doi.org/10.1086/521848.
Experimental evidence that clustered network structure can facilitate behavioral diffusion under reinforcement conditions. It is not a protest study, so the dossier uses it as mechanism evidence rather than direct movement evidence.
Citation: Centola, Damon. 2010. “The Spread of Behavior in an Online Social Network Experiment.” Science 329(5996): 1194–1197. https://doi.org/10.1126/science.1185231.
Analyzes recruitment patterns during Spain’s 2011 mobilizations and reports evidence consistent with social influence and complex contagion. The network data illuminate recruitment dynamics but do not establish ideological conversion or long-term commitment.
Citation: González-Bailón, Sandra, Javier Borge-Holthoefer, Alejandro Rivero, and Yamir Moreno. 2011. “The Dynamics of Protest Recruitment through an Online Network.” Scientific Reports 1:197. https://doi.org/10.1038/srep00197.
Randomized evidence that social messages and close-network transmission can affect political mobilization behavior. Useful for causal social-influence evidence, while the outcome is voting rather than protest or movement identity.
Citation: Bond, Robert M., et al. 2012. “A 61-Million-Person Experiment in Social Influence and Political Mobilization.” Nature 489: 295–298. https://doi.org/10.1038/nature11421.
Survey evidence links social-media and interpersonal information channels to early protest participation and logistics in Tahrir Square. Because the design is observational and participant-specific, it should not be generalized into a universal digital-causation claim.
Citation: Tufekci, Zeynep, and Christopher Wilson. 2012. “Social Media and the Decision to Participate in Political Protest: Observations From Tahrir Square.” Journal of Communication 62(2): 363–379. https://doi.org/10.1111/j.1460-2466.2012.01629.x.
Distinguishes organization-heavy collective action from digitally mediated connective action in which personalized sharing can itself perform coordination. Useful for analyzing distributed scaling without assuming organization is absent.
Citation: Bennett, W. Lance, and Alexandra Segerberg. 2012. “The Logic of Connective Action: Digital Media and the Personalization of Contentious Politics.” Information, Communication & Society 15(5): 739–768. https://doi.org/10.1080/1369118X.2012.670661.
Finds that less-active peripheral users can contribute to aggregate protest-message diffusion at a magnitude comparable to the core because of their numbers. Useful against equating centrality with exclusive causal importance.
Citation: Barberá, Pablo, et al. 2015. “The Critical Periphery in the Growth of Social Protests.” PLOS ONE 10(11): e0143611. https://doi.org/10.1371/journal.pone.0143611.
Finds an association between coordinated Twitter activity and next-day offline protest across Arab Spring cases. The observational design supports temporal/network association, not a blanket claim that online activity caused protest or durable organization.
Citation: Steinert-Threlkeld, Zachary C., Delia Mocanu, Alessandro Vespignani, and James Fowler. 2015. “Online Social Networks and Offline Protest.” EPJ Data Science 4:19. https://doi.org/10.1140/epjds/s13688-015-0056-y.
Argues and tests that network peripheries can generate large-scale collective action in authoritarian protest settings. Useful counterevidence to a simple “central influencers drive mobilization” model.
Citation: Steinert-Threlkeld, Zachary C. 2017. “Spontaneous Collective Action: Peripheral Mobilization During the Arab Spring.” American Political Science Review 111(2): 379–403.
Reviews collective identity as a distinct mechanism affecting claims, participation, tactics, and movement effects. Supports treating identity formation as analytically separate from message exposure, tactic adoption, or one-time attendance.
Citation: Polletta, Francesca, and James M. Jasper. 2001. “Collective Identity and Social Movements.” Annual Review of Sociology 27: 283–305. https://doi.org/10.1146/annurev.soc.27.1.283.
Synthesizes experiments and digital trace evidence showing that many online mobilization attempts fail while successful ones can be highly nonlinear, unstable, and short-lived. Useful for distinguishing visibility and bursts of participation from durability.
Citation: Margetts, Helen, Peter John, Scott Hale, and Taha Yasseri. 2015. Political Turbulence: How Social Media Shape Collective Action. Princeton University Press. https://doi.org/10.2307/j.ctvc773c7.
A recent working paper comparing long-run organizational afterlives of Brazil’s 2013–2016 protest formations. It argues that high mobilization can decouple from durable organizational capacity and should be treated as provisional evidence pending peer review.
Citation: McKenna, Elizabeth. 2026. “From Mobilization to Organization: The Afterlives of Protest in the Digital Age.” HKS Faculty Research Working Paper Series RWP26-013.
Finds fragmentation, uneven brokerage opportunities, and underused bridges in an international protest communication network. Useful counterevidence to assuming that visible online networks automatically transmit information efficiently.
Citation: González-Bailón, Sandra, and Ning Wang. 2016. “Networked Discontent: The Anatomy of Protest Campaigns in Social Media.” Social Networks 44: 95–104. https://doi.org/10.1016/j.socnet.2015.07.003.
Living archive
The intended archive can hold consented interviews, statements, meeting documents, newsletters, creative work, and other artifacts relevant to the movement’s development. Each item should carry provenance, permissions, redactions, access restrictions, and version history.
Private group material, sensitive contact information, precise participant locations, raw consent records, and restricted research data are not made public merely to make the archive look comprehensive.
Archive collection
The current public collection is source metadata. Participant material will appear only after provenance, rights, consent, sensitivity, and access review.
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