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Record W2559795778 · doi:10.3138/cjpe.343

Création de connaissances organisationnelles à la suite d’une intervention de développement professionnel en Centre de santé et de services sociaux (CSSS) : une évaluation des laboratoires de promotion de la santé

2016· article· en· W2559795778 on OpenAlexaffvenue
Lucie Richard, Laurence Fortin-Pellerin, François Chiocchio, Éric Litvak, François Champagne, Nicole Beaudet

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsMontfort HospitalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité de Montréal
Fundersnot available
KeywordsExternalizationPromotion (chess)Political scienceSociologyPsychologyLibrary scienceSocial psychology

Abstract

fetched live from OpenAlex

Abstract: This article deals with the Health Promotion Laboratory, a professional development program designed for local public health teams. Building on Nonaka’s model, the study examines organisational knowledge creation in three sites and analyzes the factors involved. The results show significant externalization and noticeable combination in the three sites. The availability of diffusion tools, the transmission of knowledge inherent to the laboratory and the adequacy of resources appear as factors influencing externalization. Participants’ learning capacity stands out as the main organizational factor facilitating combination.

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.

How this classification was reachedexpand

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)0.019
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.093
GPT teacher head0.453
Teacher spread0.360 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2016
Admission routes2
Has abstractyes

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