La mise en scène de la mort dans le quotidien social et la gestion du risque suicidaire
Bibliographic record
Abstract
L’accroissement continu du suicide est un puissant révélateur de l’ethos d’une société, du malaise observé dans les structures de sa vie quotidienne et de la violence mortifère qui y est à l’œuvre. L’urgence de la situation est ressentie par la communauté comme un appel à la responsabilité collective et à son autocritique en s’interrogeant sur ses critères de la vie bonne. Pourquoi une société se croit-elle autorisée de prévenir le suicide de ses membres ? Jusqu’où peut-elle aller dans cette voie ? Quels moyens sont justifiés pour s’acquitter de cette obligation ? Après avoir examiné les raisons qui fondent la légitimité de la prévention du suicide et ses limites, nous proposerons des politiques ou des stratégies de santé publique pour une saine gestion du risque suicidaire.
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 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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| 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".