Effet de l'accès aux services de soins de santé sur mortalité infantile au Togo
Bibliographic record
Abstract
Cet article vise à analyser les effets d'un accès sans restriction aux soins de santé sur la mortalité infantile au Togo. Nous nous sommes appuyés sur un modèle de duré à risque proportionnel pour évaluer ces effets. A la suite des estimations de ce modèle à partir des données de l'Enquête Démographique et de Santé réalisée au Togo en 2013, nos résultats montrent que naître en présence d'un personnel de santé qualifié contribue à réduire le risque de mortalité des enfants de moins d'un an. Par ailleurs, une amélioration de l'éducation des mères améliore la probabilité de survie des enfants au-delà de leur premier anniversaire. Ce travail permet de souligner la nécessité d'investir dans la formation du personnel soignant et aussi encourager l'éducation des filles. De tels investissements permettront de réduire significativement la mortalité infantile.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".