Lois En Matière De Santé Mentale Au Canada: Accélérer La Réorientation Du Navire De l'État
Bibliographic record
Abstract
Résumé\nDans cet article, l’auteur répertorie certaines perspectives prometteuses de l’évolution des lois en matière de santé mentale et présente des façons d’évaluer l’état et les progrès de la législation, s’inspirant des organismes internationaux et des efforts concluants d’autres pays. Il examine des facteurs qui pourraient contribuer à l’évolution de ces lois au Canada et conclut qu’il y a des manières cohérentes de changer de direction, bien que, dans ce domaine législatif piégé, personne ne saurait formuler de prédiction fiable. Abstract\nIn this article, some hopeful outlooks on the evolution of the law are identified and ways of assessing the state and progress of legislation are advanced, drawing from international organizations and some inspiring efforts in other countries. Potential contributors to the evolution of Canadian mental health law are surveyed. The author concludes that there are coherent ways of changing tack, although in this fraught legislative field, no one can make confident predictions about the future.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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 teacher head, 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".