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Record W1950381330 · doi:10.7202/1032384ar

Participation publique et santé mentale : la réponse contrastée et inachevée des utilisateurs de services

2015· article· fr· W1950381330 on OpenAlexaffvenueabout
Michèle Clément

Bibliographic record

VenueSanté mentale au Québec · 2015
Typearticle
Languagefr
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversité LavalCentre de Santé et de Services Sociaux de la Vieille-Capitale
Fundersnot available
KeywordsPolitical sciencePsychology

Abstract

fetched live from OpenAlex

OBJECTIVES: The objective of this article is show the way that mental health users in Quebec responded to the last Mental Health Action Plan Directive (2005-2010): the strength of the links which were labelled as follows: 'The MSSS, The Health and Social Service Agencies, as well as the Centers of Health and Service Agencies must be sure to obtain the participation of mental health users (and those close to them), in all mental health and planning organizational services.' (MSSS, 2005: p.16) METHOD: The results presented in this article are based on the qualitative exploratory study conducted in the 11 regions of Quebec. In total 35 persons participated in the study, 13 service users, 11 persons coming from institutional environments (interveners and administrators) and 11 key players. RESULTS: The PASM's directive gave rise to a major mobilization of service users who drew up social groupings to engage in the participation activities. As well, it has permitted a generalization and regionalization of participation activities. However, the imprecision regarding the organization of the participants relative to the means required to implement the long-awaited results, has given rise to multiple interpretations, and therefore, to uneven results according to the regions, including the interior of the main region. CONCLUSIONS: The participation of service users will remain a principle whose effects will be contingent, as long as the ministerial willingness will not be accompanied by precise targets to reach, a planned process of rendering of accounts and adequate financing.

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)0.017
metaresearch head score (Gemma)0.024
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 score0.367
Threshold uncertainty score0.739

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0080.017
Scholarly communication0.0080.005
Open science0.0010.006
Research integrity0.0020.002
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 head0.146
GPT teacher head0.434
Teacher spread0.288 · 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

Citations2
Published2015
Admission routes3
Has abstractyes

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