MétaCan
Menu
Back to cohort
Record W4391798977 · doi:10.3917/quin.121.0098

La persistance des inégalités d’accès aux systèmes de santé

2023· article· fr· W4391798977 on OpenAlexaff
Valéry Ridde, Lara Gautier

Bibliographic record

VenueQuestions internationales · 2023
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicinePolitical science

Abstract

fetched live from OpenAlex

L’accès au système de santé se définit comme la possibilité offerte à une personne de satisfaire ses besoins en matière de soins 1 . Il résulte du processus complexe d’interactions entre l’offre – les établissements de santé, les prestataires de soins – et la demande – les patients – de soins. Comme tout système social, le système de santé s’inscrit dans un contexte politique, économique et sociétal au cœur duquel les inégalités sont prégnantes, sinon permanentes. Certains pays tentent de promouvoir des réformes pour réduire ces inégalités, notamment afin d’atteindre, avant 2030, les objectifs de développement durable (ODD) des Nations Unies concernant la couverture sanitaire universelle .

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)0.013
metaresearch head score (Gemma)0.060
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.060
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.005
Scholarly communication0.0070.008
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.156
GPT teacher head0.513
Teacher spread0.357 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueQuestions internationalesSame topicHealthcare Systems and PracticesFrench-language works237,207