Deuil et aide médicale à mourir : exploration narrative de l’expérience d’enfants d’âge adulte
Bibliographic record
Abstract
Plusieurs facteurs influencent le deuil, dont le lien d’attachement et la cause du décès. Cet article explore l’expérience de deuil d’enfants d’âge adulte ayant perdu un parent en contexte d’aide médicale à mourir. Une étude qualitative inspirée de l’approche narrative et du modèle d’ajustement en double processus a été menée. Les données ont été recueillies auprès de six participants par le biais d’entretiens individuels en profondeur, accompagnés d’un questionnaire sociodémographique et de la tenue d’un journal de bord. Trois thèmes ont été identifiés lors de l’analyse : la temporalité, la quête de sens et les facteurs influençant le deuil. L’implication de ces thèmes dans l’expérience et le deuil des participants sera discutée et des recommandations pour la pratique professionnelle seront formulées.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".