« Croyez surtout pas que j’ai perdu la tête » : quand les lettres d’adieu de suicidés québécois défient les verdicts du coroner
Bibliographic record
Abstract
Selon l’OMS, 90 % des suicides sont liés à des problèmes de santé mentale. Or associer le suicide à une altération de l’esprit ne va pas de soi. Au Québec, il est par exemple historiquement aisé de montrer qu’un tel couplage dépasse largement des considérations d’ordre psychiatrique. Sans prendre position davantage dans ce débat, notre analyse de lettres d’adieu part néanmoins du principe que dès lors qu’il y a mise en mots du geste suicidaire, il y a, à travers ce récit, interpellation d’un futur dans lequel l’auteur entend rester acteur de sa vie comme de ce qui la suit. La majorité des lettres de notre corpus rend d’ailleurs explicitement compte des raisons de la mort à venir. Pourtant, dans 91 % des dossiers, le coroner conclut au geste d’un fou. Y compris quand le suicidé précise ne pas l’être.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".