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Record W2268438931 · doi:10.3917/qdm.152.0045

Le déploiement du lean santé au Québec en mode agile

2015· article· fr· W2268438931 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueQuestion(s) de management · 2015
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsHEC MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.837
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.005

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.

Opus teacher head0.017
GPT teacher head0.260
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it