Le déploiement du lean santé au Québec en mode agile
Bibliographic record
Abstract
L’étude examine le parcours emprunté par dix-neuf directeurs des ressources humaines (DRH) et quatre chercheurs ayant choisi la recherche-action pour accompagner le transfert, le partage et la co-construction de connaissances propices au déploiement du Lean Santé au Québec. Propulsée par le Ministère de la Santé et des Services sociaux, cette démarche donne lieu à des ateliers interactifs sur plusieurs thématiques décidées au fur et à mesure selon les besoins anticipés des DRH. Ils ont pu trouver des solutions pragmatiques entre pairs ainsi qu’avec d’autres acteurs qui se sont joints en cours de route. La recherche-action montre que le déploiement du Lean Santé au Québec ne peut se réaliser sans une contextualisation locale du changement. Le mode agile permet justement d’adapter les stratégies de mise en œuvre à l’environnement sans cesse turbulent.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".