La faisabilité de projet d’intégration organisationnelle entre coopératives de santé et système public
Bibliographic record
Abstract
Dans le domaine de la santé, le développement et la performance des coopératives de solidarité dépendent de plus en plus de la création de réseaux avec le système public. C’est pourquoi divers projets d’intégration sont lancés. En contexte de ressources limitées, les analyses de faisabilité de tels projets se concentrent le plus souvent sur les besoins à combler, les ressources à affecter. Cependant, parce que cela ne suffit pas au succès des projets, nous nous sommes employés, dans cet article, à situer les bases de l’intégration organisationnelle, qui en même temps posent les conditions de faisabilité des projets de constitution des réseaux. Le cas du démarrage d’une clinique d’urgence réseau soutenue par la Coopérative Santé Aylmer et le Centre de santé et de services sociaux de Gatineau permet d’illustrer notre propos.
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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 | 0.028 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".