La disparition et l’affaire des quarante-trois étudiants de l’École Normale rurale d’Ayotzinapa
Bibliographic record
Abstract
Cet article se propose d’analyser la manière dont la disparition de quarante-trois étudiants de l’École Normale rurale d’Ayotzinapa est devenue une affaire. Autrement dit, il s’agit de s’interroger sur la manière dont des revendications locales ont pu émerger et monter en généralité pour accéder à la sphère publique, comme celles des mobilisations collectives au Mexique et ailleurs. Nous essayerons de répondre en observant l’événement durant les jours qui ont suivi cette disparition. Deux sources principales sont consultées : les comptes rendus judicaires et les récits des victimes. L’analyse des descriptions et catégorisations élaborées par les personnes et institutions concernées s’avère donc nécessaire pour avoir accès aux différentes compréhensions internes à cette affaire.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".