Bibliographic record
Abstract
El sistema de salud haitiano se conforma por un sector público y un sector privado. El primero está compuesto por el Ministerio de Salud Pública y Población (MSPP) y la Caja de Seguro de Accidentes de Trabajo, Enfermedades y Maternidad (Ofatma). El sector privado incluye a los seguros y prestadores de servicios de salud privados. El MSPP ofrece servicios básicos a la población no asalariada (95% de la población total), mientras que la Ofatma ofrece seguros contra accidentes de trabajo, enfermedades y maternidad a los trabajadores del sector formal privado y público. El gasto total en salud en Haití representó 5.4% del producto interno bruto en 2016 y el gasto en salud per cápita fue de 38 dólares estadunidenses. Hay una enorme dependencia de los recursos externos. El MSPP es el responsable de la mayor parte de las actividades de rectoría. El mayor reto que enfrenta el sistema de salud de Haití es ofrecer servicios integrales de salud con protección financiera a toda la población. Esta meta no podrá alcanzarse sin mayores recursos financieros, sobre todo públicos, y sin un importante esfuerzo de fortalecimiento institucional.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.010 |
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".