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Record W2557312367 · doi:10.7202/1037958ar

Des institutions privées d’histoire. Enquête sur les archives d’entreprises capitalistes dédiées à la gestion de la folie (France, 1930-1950)

2016· article· fr· W2557312367 on OpenAlexvenueno aff
Hervé Guillemain

Bibliographic record

VenueSanté mentale au Québec · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.944
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.008
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.022
GPT teacher head0.228
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2016
Admission routes1
Has abstractyes

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