Les 25 ans de la <em>Revue canadienne de santé mental communautaire</em>: Observations et perspectives
Bibliographic record
Abstract
En tant quâancien rédacteur de la Revue canadienne de santé mentale communautaire (RCSMC), membre de longue date de son comité de rédaction et collaborateur régulier, jâai accepté avec plaisir de commenter lâanalyse de contenu de la RCSMC faite par Fortin-Pellerin, Pouliot-Lapointe, Thibodeau et Gagné. Je tiens dâabord à préciser que je ne prétends pas ici faire un compte rendu objectif, non seulement à cause de mon profond investissement dans la Revue, mais aussi à cause de ma partialité, de mes valeurs et de ma position privilégiée, tant personnelles que professionnelles, qui mâempêchent dâêtre totalement objectif. Je peux toutefois offrir, en tant quâuniversitaire et psychologue communautaire, quelques réflexions et des pistes pour lâavenir de la RCSMC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".