De l’importance du sens donné à la mort assistée : l’accompagnement de fin de vie et le processus de deuil en contexte d’aide médicale à mourir
Bibliographic record
Abstract
Les pays occidentaux qui disposent de législations permettant aux personnes en fin de vie de mettre fin à leurs jours par mort assistée, soit par le biais de l’euthanasie, du suicide assisté ou de l’aide médicale à mourir, sont de plus en en nombreux. Or, le choix du type de décès a également un impact sur les proches aidants. Qu’en est-il alors de l’accompagnement de fin de vie et du processus de deuil dans ce contexte particulier? Le présent article propose une réflexion sur la mort assistée en abordant la présence ou non de proches au moment du décès, ainsi que les conséquences de ce type de décès, dans son potentiel à faciliter ou à complexifier l’accompagnement de fin de vie et la trajectoire de deuil.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.034 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".