Mort et répression en Amérique latine durant les régimes dictatoriaux récents (1960-1980)
Bibliographic record
Abstract
Cet article analyse les politiques de répression allant jusqu’à la mort, mises en pratique par plusieurs gouvernements latino-américains entre les années 1960 et 1980, particulièrement les cas du Chili et de l’Argentine. L’auteur postule que ces politiques se sont basées sur une longue tradition répressive, qui incluait des assassinats politiques, commencée dès l’époque de l’indépendance du début du XIXe siècle, mais qui prirent un caractère beaucoup plus violent et qui affectèrent l’ensemble de la société à partir des années 1960, suite à l’impact de la révolution cubaine, qui servit comme prétexte pour déclencher une répression justifiée dans le but de défendre l’Occident. Cette situation suscita des changements dans la socialisation des gens qui subissaient les conséquences de la répression.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".