Bibliographic record
Abstract
Deux balles de calibre 22 dans l'abdomen. C'est la mort qu'a choisie Laurent Rouleau, un Québécois de 59 ans souffrant de sclérose en plaques depuis de nombreuses années. Il avait interrogé ses médecins, s'était renseigné sur le droit en vigueur en matière d'euthanasie et de suicide assisté. Il comprit qu'il n'y avait pour lui aucune alternative légale au suicide violent. Il choisit de mourir par arme à feu, mais suffisamment lentement pour pouvoir téléphoner au 911 (le numéro d'urgence nord-américain) et éviter à son épouse de trouver son cadavre.1 Arrivé à l'hôpital, il était lucide et refusa une intervention visant à stopper l'hémorragie. Fin de non-recevoir de l'équipe d'urgence : suicide égale incompétence égale traitement maximal. Finalement un psychiatre certifie que le patient est capable de discernement et que sa décision est valide. Laurent Rouleau meurt le lendemain.
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 | 0.008 | 0.075 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.003 |
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".