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Record W2051832289 · doi:10.3406/oss.2009.1367

La participation citoyenne en santé mentale : une expérience locale au Québec

2009· article· en· W2051832289 on OpenAlexaffabout
Jean Gagné

Bibliographic record

VenueSanté Société et Solidarité · 2009
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsReciprocity (cultural anthropology)Mental healthLocale (computer software)Neighbourhood (mathematics)Public relationsThe ImaginaryPolitical scienceSociologyPsychologyPsychiatrySocial science

Abstract

fetched live from OpenAlex

This article presents a citizen participation experience involving mental health service users in the Jeanne-Mance neighbourhood in Montreal. First, it describes how the concept of participation has evolved in Quebec since the early 1960s, reviewing the concept of the imaginary involving the instituting and the instituted. It then presents a citizen participation experience understood as the participation of users in the planning and evaluation of public services. This experience involved several recruitment and public promotion activities such as the writing on an institutional policy of recognizing citizen participation in mental health. Such participation puts forward a principle of reciprocity despite a tendency on the part of the ministère de la Santé et des Services sociaux du Québec (Québec ministry of health and social services) to adopt a unilateral or top down approach to planning healthcare.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0310.009
Scholarly communication0.0040.002
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.082
GPT teacher head0.462
Teacher spread0.380 · 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 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
Published2009
Admission routes2
Has abstractyes

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