De son élaboration à sa mise en œuvre : les doutes qu’engendre le régime québécois des directives médicales anticipées
Bibliographic record
Abstract
À une époque où la reconnaissance de l’inviolabilité de la personne ainsi que le respect de l’autodétermination sont au cœur des préoccupations de la population, La Loi concernant les soins de fin de vie est venue consacrée en 2015 deux grandes nouveautés en droit québécois. Alors que l’aide médicale à mourir, soit la première section de la Loi, a bénéficié d’une attention sans précédent, le régime des directives médicales anticipées (DMA), constituant la deuxième partie de la Loi, s’est fondu dans le décor. Premier régime à encadrer officiellement les volontés de fin de vie au Québec, il est pourtant pertinent de s’y attarder. Cet essai se veut donc un survol des DMA et des limites qui sont inhérentes à ce nouveau régime, tant au moment où ces directives sont rédigées qu’au moment où elles sont appliquées.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.021 | 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".