State Repression and Opposition Survival in Pinochet’s Chile
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Why do some groups survive government repression while others get eliminated? This paper offers a corrective to the widely held theory that locally embedded opposition organizations with large and interconnected networks of civilian supporters are better adapted to survive. It argues that extreme and selective violent repression from a capable state requires strict compartmentalization and social detachment. These measures slow the speed and reach of repression. I test these propositions by examining the top targets of the Pinochet dictatorship in Chile. Cross-checking individuals on the Pinochet’s target lists against the victims lists, the article shows that the Revolutionary Leftist Movement (MIR) had a significantly lower rate of victimization than the other top targets. Archival and interview data demonstrate that MIR’s higher survival rate is due to the mechanisms proposed. This study renders intended repression observable and offers implications for the survival of a wide range of actors.
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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 | 0.001 |
| 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 | 0.001 |
| 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 it