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Record W1488745911 · doi:10.4000/norois.5183

Politiques visant la santé au Québec : lorsque la main droite ignore ce que fait la main gauche

2014· article· fr· W1488745911 on OpenAlexaffabout
Alexandre Couture Gagnon, Jean‐François Savard

Bibliographic record

VenueNorois · 2014
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsÉcole Nationale d'Administration Publique
Fundersnot available
KeywordsHumanitiesPolitical scienceCentralisationPhilosophyLaw

Abstract

fetched live from OpenAlex

Cet article analyse la cohérence des politiques publiques de santé et de transport au Québec. Il conclut que, tandis que la formulation de ces politiques est cohérente, leur mise en œuvre s’avère incongruente. Ainsi, la politique de santé du Québec vise notamment à réduire les décès et maladies dus à la pollution de l’air, en ligne avec la politique de transport du Québec, laquelle souhaite réduire les émissions des gaz à effet de serre. Or, la mise en œuvre de ces politiques ne permet pas d’atteindre ces objectifs en raison de la densité de la hiérarchie, c’est-à-dire le nombre de hiérarchies (Hupe, 2010). Autrement dit, la décentralisation des deux ministères concourt à une mauvaise interprétation des priorités conjointes des ministères.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.923
Threshold uncertainty score0.557

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.005
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.016
GPT teacher head0.304
Teacher spread0.287 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2014
Admission routes2
Has abstractyes

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