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Record W7004925443

Participation citoyenne et rétablissement en santé mentale au Québec

2012· other· fr· W7004925443 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge UdeS (Institutional Deposit of the University of Sherbrooke) · 2012
Typeother
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsnot available
Fundersnot available
KeywordsCommunity participationPoison controlOccupational training
DOInot available

Abstract

fetched live from OpenAlex

Au Québec, plusieurs personnes souffrent d'un problème de santé mentale. Pour certains utilisateurs de services rencontrés, la participation citoyenne semble jouer un rôle important dans leur processus de rétablissement. La question principale du mémoire est donc : Comment la participation citoyenne agit-elle sur le rétablissement? En abordant l'histoire de la santé mentale au Québec et sa situation actuelle, on comprend mieux comment le concept de rétablissement est apparu et les controverses qu'il suscite. Le rétablissement est défini comme étant un processus personnel qui comporte généralement les dimensions suivantes: d'espoir, d'autodétermination, de connaissance et de défense de ses droits, d'identité positive et d'intégration. La participation citoyenne évolue et est en lien avec la notion de pouvoir. Certains groupes ont trouvé des façons de solliciter et de favoriser la participation citoyenne. La méthodologie du mémoire est qualitative et constructiviste. Six utilisateurs de services en santé mentale ayant une participation citoyenne ont été rencontrés en entrevue individuelle et ensuite en groupe, afin d'échanger sur leur rétablissement et leur participation citoyenne. Selon les personnes rencontrées, la participation citoyenne favorise entre autres l'espoir, le développement de ses compétences, la reprise de son pouvoir, l'entraide et l'estime de soi. Ces éléments agissent également tous sur le rétablissement.

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)0.005
metaresearch head score (Gemma)0.008
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 score0.058
Threshold uncertainty score0.423

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0110.006
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.001

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 head0.012
GPT teacher head0.248
Teacher spread0.236 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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