Democratization Through Contention? Regional and Local Governance Conflict in Peru
Bibliographic record
Abstract
Abstract Social conflict in Peru has increased dramatically since 2004. The economic origins of these disputes, which result mostly from the growth of mining operations, have received considerable scholarly attention. The emergence of collective action directed at the performance of regional and local government, however, has received little notice. This essay examines Peru's regional and local governance conflicts on the basis of hundreds of reported cases. It investigates the nature of these episodes and the strategies adopted by community organizations to get their complaints addressed. It finds that the political opportunity of the posttransition period, dissatisfaction with government performance, and new participatory rights have helped to give rise to such collective action. Community protagonists choose between institutional and noninstitutional strategies but often combine them to help ensure success. Maintaining legitimacy proves essential to both sides. This article argues that these events represent both constraints and favorable developments for subnational democracy in Peru.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".