The deployment of the partnership with patients in the initial training of health professionals: Reflections and avenues of action based on the experience of the Faculty of Medicine of the University of Montreal
Bibliographic record
Abstract
Nous assistons depuis quelques années à une recrudescence des mouvements sociaux et sociétaux porteurs d’une vision plus démocratique, décentralisée et émancipatrice mais également moins inégalitaire des institutions. Le mouvement du partenariat de soins est l’un d’entre eux et le « modèle de Montréal » l’une de ses manifestations concrètes. Cet article part de l’expérience du déploiement d’une culturede partenariat fondée sur ce modèle au sein de la faculté de médecine de l’Université de Montréal afin d’identifier les pistes d’action desquels nous inspirer pour initier un tel déploiement dans d’autres institutions de formation initiale et continue des professionnels de la santé ailleurs dans le monde.
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 | 0.015 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.038 | 0.039 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 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".