Le suicide dans les enquêtes du coroner au Québec entre 1763 et 1986 : un projet de recherche inédit1
Bibliographic record
Abstract
Cette note de recherche porte sur la création d’une base de données qui rassemblera au final toutes les enquêtes du coroner qui ont conclu à un décès par suicide sur le territoire du Québec, et ce, de la Conquête britannique (1763) à 1986, soit plus ou moins 20 000 enquêtes. Riche de matériaux aussi précieux que des rapports médicaux, des témoignages de proches ou de professionnels d’horizons divers, des verdicts de jury et coroner ou encore des lettres d’adieu, cette base de données ne permettra pas seulement des analyses de type épidémiologique. Elle ouvrira aussi la voie à l’examen de l’évolution des discours sociaux qui accompagnent le geste suicidaire. Nous aborderons également le fait que la création et l’utilisation d’une telle base de données ne viennent pas sans leur lot de dilemmes épistémologiques et méthodologiques.
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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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.014 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".