La participation des usagers au fonctionnement des établissements de santé :une dynamique encore à construire
Bibliographic record
Abstract
Le Québec, depuis les années 1970, et la France, vingt ans plus tard, se sont efforcés de faire en sorte que la parole profane des usagers soit mieux considérée dans le système de santé, et plus particulièrement dans les établissements de santé. Cette volonté, qui s’est traduite de part et d’autre de l’Atlantique de manière différente sur le plan institutionnel, a eu des effets très contrastés. Au Québec, en dépit de leur antériorité, les associations de patients ont eu du mal à se développer et à se mobiliser. L’impact a été faible, lié au fait du manque de vigueur de l’action des associations, et ce, alors même que le dispositif de représentativité de la population dans les établissements de santé s’est étendu ces dernières années. En France, à l’émoi causé chez les professionnels de la santé et les politiciens par l’irruption du SIDA et par les différents scandales sanitaires qui en ont résulté, les associations se sont assez vite imposées comme des interlocuteurs incontournables des pouvoirs publics.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".