The Ballot and the Street: An Electoral Theory of Social Protest in Autocracies
Bibliographic record
Abstract
This article presents a new explanation of the widespread occurrence of cycles of protest in electoral autocracies – the most common type of authoritarian regime in the world today. Because multiparty elections in autocracies are partially free but unfair, opposition parties are compelled to compete for office while contesting the rules of competition. To fulfill this dual goal, opposition parties actively seek to recruit a wide variety of independent social movements who can provide votes and lead major mobilizations during election campaigns and in post-election rallies to denounce fraud. Because electoral participation can cause divisions within social movements, social activists joinsocio-electoral coalitionswhen opposition parties offer them financial and logistic resources and institutional protection to mobilize for their causes during non-election times. This quid pro quo explains how isolated protest events become aggregated into powerful cycles of mobilization and why protest is more intense during elections but persists beyond election cycles. When political liberalization leads to increasingly free and fair elections, the prospect of victory motivates opposition parties to discourage radical mobilization, bringing cycles of protest to an end. Drawing on an original database of indigenous protest in Mexico and on case studies, I provide quantitative and qualitative evidence of the causal impact of electoral incentives on the rise, development and decline of a powerful cycle of indigenous protest as Mexico transitioned from one-party to multi-party autocracy and into democracy. Beyond Mexico, I show that the introduction of multiparty elections in a wide variety of autocracies around the world gave rise to major cycles of protest and discuss why the relationship between the ballot and the street is a crucial factor for understanding the dynamics of stability and change of authoritarian regimes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".