Des institutions privées d’histoire. Enquête sur les archives d’entreprises capitalistes dédiées à la gestion de la folie (France, 1930-1950)
Bibliographic record
Abstract
Objectives Discovered by following the story of a Parisian patient, l'Hôpital psychiatrique de Saint-Rémy opened in 1937 in the east of France. It is a special institution that was created for profit and in an emergency context during the 1930s.Methods Due to the absence of administrative records, the history of this institution can be written only by using the archives of the Parisian administration and patient records. The story of this special institution allows several issues in the historiography of psychiatry: the funding of mental health, the patient transfers, the revival of the criticism against the psychiatric hospital.Results The creation of this institution in the 1930s corresponds to a specific context of demographic and economic crisis and represents a new mode of management of chronic mental illness. L'Hôpital psychiatrique de Saint-Rémy is a new place of banishment for some populations at the end of the thirties as well as a source of profit for entrepreneurs bound to the most influential political and economic networks of time.Conclusions The history and the archives of the Hôpital psychiatrique de Saint-Rémy inform us about the evolution of the psychiatric assistance but also about the treatment of madness during a difficult time of the history.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".