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Record W2038848865 · doi:10.7202/056546ar

La provincialisation des services de santé

2005· article· fr· W2038848865 on OpenAlexvenueno aff
Gérard Bélanger

Bibliographic record

VenueRecherches sociographiques · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Policies and Family
Canadian institutionsnot available
Fundersnot available
KeywordsCentralisationPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Trente ans après l'assurance-hospitalisation et vingt ans après l’assurance-maladie, les soins de santé se présentent comme un système provincialisé financé à 80% par la taxation. Plusieurs de ses caractéristiques entraînent une affectation centralisée des ressources. Depuis 1970, les dépenses en ce domaine accusent une tendance à la hausse beaucoup moins prononcée par rapport à une production intérieure brute que pendant les décennies précédentes et connaissent même des périodes de stabilité, grâce aux contrôles gouvernementaux sur la capacité du système. Malgré les récents discours décentralisationistes, la question n'est pas celle du choix entre décentralisation et centralisation —puisque le financement est centralisé—, mais plutôt celle du moyen d'aménager la centralisation qui est sujette à ne répondre qu'aux crises, réelles ou artificielles.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.972
Threshold uncertainty score0.546

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.001

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.

Opus teacher head0.098
GPT teacher head0.386
Teacher spread0.288 · 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 designQualitative
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
Published2005
Admission routes1
Has abstractyes

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