Policing Economic Growth: Mining, Protest, and State Discourse in Peru and Argentina
Bibliographic record
Abstract
Since the 1980s, liberalized and newly stable markets have helped usher in an unprecedented mining boom across the Latin American region. However, despite the fact that this boom contributes to notable economic growth, protests in opposition to the expansion and practices of mining companies have also grown, often with violent results. How protests are policed matters, but more important for democracy is how state actors respond when violence is employed. We examine two instances of police repression of mining protests: one in Cajamarca, Peru, and the other in Catamarca, Argentina. We argue that, despite significant differences in context, there are important similarities in state discourse between countries. In particular, a vocabulary of protester wrongdoing and calls for a remedy of “dialogue” are employed in both cases as a way to facilitate the continuation and expansion of both mining and the repression of protests.
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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 | 0.001 | 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".