PACE : une approche qui va plus loin dans l’empowerment
Bibliographic record
Abstract
Cet article résume les propos de deux allocutions prononcées lors du Xème Colloque de l'Association québécoise de réadaptation psychosociale (AQRP) en novembre 2000. Le premier auteur Fisher, se présente comme une personne ayant eu la chance de se rétablir complètement de la schizophrénie. Il cite maints épisodes de son expérience personnelle et s'appuie sur des résultats d'entrevues menées au National Empowerment Center (NEC) auprès de personnes qui se sont rétablies d'une maladie mentale grave. Le deuxième auteur Ahern co-dirige le NEC avec Fisher et est co-auteur de travaux portant sur le rétablissement. Ils présentent ici les constantes de l'approche PACE (Personal Assistance in Community Existence) qu'ils ont développée. PACE favorise une intégration à la communauté en privilégiant une intervention davantage personnalisée.
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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 | 0.015 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 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".