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Record W2068456585 · doi:10.7202/014546ar

Le travail comme déterminant social de la santé pour les personnes utilisatrices des services de santé mentale (notes de recherche)

2007· article· fr· W2068456585 on OpenAlexaffvenue
Alain Beaulieu, Paul Morin, Hélène Provencher, Henri Dorvil

Bibliographic record

VenueSanté mentale au Québec · 2007
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Les politiques de désinstitutionnalisation des soins psychiatriques entraînent le retour massif d'ex-patients psychiatriques au sein de la vie en société. Conformément à l'approche des déterminants sociaux de la santé et du bien-être, nous soutenons que les actions menées hors du cadre hospitalier sont les plus favorables au bien-être des personnes utilisatrices des services de santé mentale. En tête de liste des déterminants sociaux de la santé, il faut placer le travail qui constitue l'un des principaux vecteurs d'intégration sociale. Et pourtant, seulement 15 % des ex-patients psychiatriques parviennent à intégrer le marché régulier du travail. Les recherches qui expliquent cette réalité sont peu nombreuses. Notre équipe du GRASP (Groupe de recherche sur les aspects sociaux de la santé et de la prévention)/Centre FCAR souhaite remédier à cette situation en analysant les rapports de la santé mentale et du travail à l'aide des notions relatives au capital social, à la territorialité, l'empowerment, l'intersectorialité et au rétablissement (recovery).

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)0.025
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.186
GPT teacher head0.506
Teacher spread0.320 · 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 designQualitative
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

Citations4
Published2007
Admission routes2
Has abstractyes

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