Les archives psychiatriques : des archives pour quelle histoire ? Les papiers de René L.
Bibliographic record
Abstract
Les archives des institutions psychiatriques sont le plus souvent mobilisées pour enquêter sur l’histoire de la prise en charge des troubles mentaux et de ses modalités dans nos sociétés. À partir du dossier d’un patient, interné dans l’Hôpital du Bon Sauveur dans le département de la Manche en France à partir de 1963, cet article se propose de montrer comment ces archives participent de l’écriture d’une autre histoire, celle de la décolonisation et plus particulièrement de l’indépendance de l’Algérie et de la fin de la colonisation française. Sont notamment étudiés les dessins réalisés par ce malade et la façon dont il témoigne de cette histoire collective.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.017 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".