Un cadre pour faire participer le public aux décisions en matière d'assurance—maladie et d'affectation des ressources
Bibliographic record
Abstract
En raison de leurs effets directs sur l'accès du public aux soins et du fait que les services touchés soient financés par le gouvernement, les décisions en matière de services assurés et d'affectation des ressources représentent un domaine particulièrement important de la participation publique. Nous présentons un cadre qui oriente les décideurs dans des questions clés qu'ils doivent se poser lorsqu'ils décident, structurent, évaluent et diffusent les résultats des exercices de participation du public, notamment en ce qui a trait aux décisions en matière de services assurés et d'affectation des ressources. Le cadre permettra aux décideurs d'obtenir une participation citoyenne viable et significative sur ces sujets.
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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 | 0.021 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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".