L’importance de la recherche en schizophrénie et du partenariat avec les patients
Bibliographic record
Abstract
En mai dernier, « Caché pour révision » et « Caché pour révision » ont eu le privilège d’interviewer virtuellement M. Luc Vigneault, un auteur, conférencier et formateur âgé de 62 ans vivant avec un diagnostic de schizophrénie, qui est aussi membre du Réseau canadien de recherche sur la schizophrénie et les psychoses en tant que patient partenaire. Depuis 1994, il donne entre autres des conférences sur les thèmes du rétablissement, de la lutte à la stigmatisation ainsi que sur la démystification des troubles mentaux, et ce, dans des milieux communautaires, universitaires, institutionnels et privés. Monsieur Vigneault cumule aussi plusieurs années en tant que pair-aidant auprès de personnes vivant avec des problèmes de santé mentale.
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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 | 0.018 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.013 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| 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".