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Record W4237215464 · doi:10.1787/gov_glance-2017-86-fr

La réactivité des systèmes de santé face aux besoins des patients

2017· book-chapter· fr· W4237215464 on OpenAlexaffabout

Bibliographic record

VenuePanorama des administrations publiques · 2017
Typebook-chapter
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsEmployment and Social Development Canada
FundersOrganisation de Coopération et de Développement Économiques
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Dans tous les pays de l’OCDE, la prestation de soins de santé réactifs et axés sur le patient occupe une place grandissante au sein des politiques de santé. Les pays sont de plus en plus nombreux à recueillir des éléments de mesure de l’expérience déclarée par les patients (PREM) et des résultats déclarés par les patients (PROM), dans le cadre d’une transition consistant à se détourner d’un modèle de gestion des ressources sanitaires axé sur le volume en faveur d’un modèle axé sur la valeur (Institut canadien d’information sur la santé, 2015).

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)0.008
metaresearch head score (Gemma)0.012
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: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0020.007
Scholarly communication0.0100.005
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0130.003

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 head0.149
GPT teacher head0.460
Teacher spread0.312 · 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
GenreOther

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
Published2017
Admission routes2
Has abstractyes

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