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Record W2309902505 · doi:10.1177/070674371405900404

Les interventions basées sur les résultats probants en réadaptation psychiatrique: Auxquelles accorder la priorité et pourquoi?

2014· review· fr· W2309902505 on OpenAlexaffvenue
Tania Lecomte, Marc Corbière, Claude Leclerc

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2014
Typereview
Languagefr
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité de SherbrookeUniversité de Montréal
Fundersnot available
KeywordsPsychological interventionPsychologyRehabilitationCognitive remediation therapyPsychiatryPsychotherapistPsychosisIntervention (counseling)CognitionMedicine

Abstract

fetched live from OpenAlex

Objectif: Cette revue de littérature critique décrit les interventions psychosociales en réadaptation psychiatrique reconnues pour leurs résultats probants. Méthode: Une description brève des méta-analyses et (ou) des revues de littérature les plus récentes est présentée pour chaque intervention ciblée, ainsi qu'une description des interventions, de leur pertinence en réadaptation psychiatrique et de leurs limites. Résultats: Les interventions retenues sont: les interventions familiales, la thérapie cognitive-comportementale pour la psychose, l'entraînement aux habiletés sociales, la thérapie de remédiation cognitive, les programmes intégrés pour toxicomanie et troubles mentaux, et les programmes de soutien à l'emploi. Conclusions: Les interventions en réadaptation psychiatrique retenues dans ce article sont non seulement basées sur des résultats probants, mais offrent aussi des outils cliniques pour le rétablissement de la personne souffrant d'un trouble mental.

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)0.033
metaresearch head score (Gemma)0.104
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: Review
Teacher disagreement score0.033
Threshold uncertainty score0.176

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.104
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.006
Bibliometrics0.0030.003
Science and technology studies0.0010.002
Scholarly communication0.0050.004
Open science0.0020.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.075
GPT teacher head0.375
Teacher spread0.300 · 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

Citations6
Published2014
Admission routes2
Has abstractyes

Explore more

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