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Record W2019316207 · doi:10.1177/1757975910393193

Améliorer l’accessibilité financière des soins de santé au Burkina Faso

2011· article· fr· W2019316207 on OpenAlexaff
Valéry Ridde, Rolf Heinmüller, Ludovic Queuille, Kristina Rauland

Bibliographic record

VenueGlobal Health Promotion · 2011
Typearticle
Languagefr
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

L’intervention subventionne le paiement des soins de santé des enfants de moins de cinq ans et des femmes enceintes dans deux districts du Burkina Faso. Une stratégie de recherches opérationnelles à multi-niveaux utilise des méthodes mixtes et associe l’analyse des effets à celle des processus. L’article propose une analyse des chances de succès de l’utilisation des données probantes. L’étude montre notamment qu’il faut associer chercheurs et décideurs le plus tôt possible et tout au long du processus, intéresser les intervenants aux activités de recherche et adapter la méthodologie en fonction des besoins des décideurs, de la rigueur scientifique et de la temporalité de la prise de décision.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.043
GPT teacher head0.364
Teacher spread0.321 · 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.

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

Citations5
Published2011
Admission routes1
Has abstractyes

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