Santé mentale : guérison et rétablissement : Regards croisés Ed. 1
Bibliographic record
Abstract
Peut-on parler de guerison dans le champ de la sante mentale ou devrait-on parler de retablissement ? L’approche de retablissement redefinit la notion meme de guerison, tout en repositionnant le patient comme le principal acteur de sa vie et de son processus de soin. Cet ouvrage est necessaire pour mieux comprendre les mecanismes subtils de la guerison et du retablissement afin d’aider nos institutions de sante a prendre ce virage essentiel, tant dans le contexte de la sante mentale que celui de la sante physique. Leurs politiques sont trop axees sur l’acte curatif, la gestion du soin au sens strict plutot que de la personne. Quelles significations attribuer a ces concepts dans un domaine ou la pathologie est marquee du sceau de la chronicite et empreinte de representations stigmatisantes ? Quelles applications concretes l’emergence de ces concepts engendre t-elle en termes de pratique clinique et de politique de sante publique ? Quelles sont les parts respectives de l’individu, des connaissances et des institutions dans la construction de ces nouvelles normes sociales ? Les notions de guerison et de retablissement en sante mentale sont abordees a la lumiere de diverses perspectives theoriques, disciplinaires, mais aussi experientielles, en donnant notamment la parole a des individus qui ont fait l’experience de troubles psychiques et qui temoignent d’un retour a une vie « normale ». Preface de Vincent DUMEZ, M. Sc., Co-directeur, Direction collaboration et partenariat patient, Faculte de medecine, Universite de Montreal
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".