MétaCan
Menu
Back to cohort
Record W2484335668 · doi:10.3917/rfas.162.0253

L’hospitalisation sans consentement en psychiatrie en 2010 : analyse et déterminants de la variabilité territoriale

2016· article· fr· W2484335668 on OpenAlexaff
Magali Coldefy, Clément Nestrigue, L.-M. Paget, Nadia Younès

Bibliographic record

VenueRevue française des affaires sociales · 2016
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

En France, 71 000 personnes ont été hospitalisées sans leur consentement en psychiatrie, en 2010. Le taux de recours à l’hospitalisation sans consentement varie fortement géographiquement, à la fois entre pays et à l’intérieur d’un pays. Si la contrainte aux soins est une exception psychiatrique, le soin librement consenti reste privilégié et majoritaire. Nécessaire dans certains cas, elle pose des questions en termes d’atteinte aux libertés des personnes et constitue une problématique majeure pour les équipes soignantes et les personnes concernées. À partir de l’exploitation des données du recueil d’informations médicalisées en psychiatrie, la présente étude propose de décrire cette population, de mesurer la variabilité géographique du recours aux soins sans consentement, et d’explorer le rôle de l’environnement géographique, socio-économique et sanitaire dans les disparités observées. Elle conclut au rôle prépondérant du contexte social et économique pour expliquer cette variabilité.

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)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0030.002
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 head0.038
GPT teacher head0.390
Teacher spread0.352 · 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; a candidate call from one teacher head, not a consensus.

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

Explore more

Same venueRevue française des affaires socialesSame topicHealth, Medicine and SocietyFrench-language works237,207