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Record W1578200118 · doi:10.7202/1025910ar

Rôle du communautaire en santé mentale dans un système en évolution : état des connaissances et recommandations

2014· article· fr· W1578200118 on OpenAlexaffvenueabout
Guy Grenier, Marie‐Josée Fleury

Bibliographic record

VenueSanté mentale au Québec · 2014
Typearticle
Languagefr
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsMcGill UniversityDouglas College
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cet article a pour objectifs 1) de tracer l’historique et la place des organismes communautaires en santé mentale (OCSM) ainsi que leurs valeurs et pratiques spécifiques et 2) d’étudier l’impact du Plan d’action en santé mentale (PASM) 2005-2010 sur leur fonctionnement et leurs relations avec le réseau public. Les auteurs abordent la diversité des OSCM en fonction des dimensions suivantes : historique des OCSM au Québec, typologie, territoires couverts et financement, modalité de pratiques, et regroupement. L’étude montre que malgré la place qu’ils occupent dans la dispensation des services, les OCSM perçoivent un certain recul quant à la reconnaissance de leur expertise par le réseau public depuis la mise en place du PASM 2005-2010. Leurs critiques concernent surtout les questions de leur sous-financement, la crainte d’une perte de leur autonomie lors de la signature d’une entente de services ainsi que des lacunes sur le plan de la gouvernance et de la concertation. Un financement plus adéquat des OCSM, principalement pour les groupes d’entraide et les OCSM offrant de la réadaptation psychosociale, de l’intégration aux études et au travail, la reconnaissance de la nécessité d’une pluralité d’approches, ainsi que la reconstitution de tables de concertation ayant des pouvoirs décisionnels sont des outils pouvant permettre aux OCSM de jouer plus adéquatement leurs rôles.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.976
Threshold uncertainty score0.486

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0050.017
Scholarly communication0.0110.013
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.000

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 head0.065
GPT teacher head0.368
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2014
Admission routes3
Has abstractyes

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