L'abolition sélective du paiement direct en Afrique subsaharienne : une opportunité pour le renforcement des systèmes de santé ?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As the idealistic deadline of the Millennium Development Goals (MDGs), 2015, looms ever closer, some are calling for user fees abolition. In many African countries, this involves targeting groups considered vulnerable. However, operational problems have surfaced in the experiences of some of the pioneering West African countries. We identified various health system bottlenecks. These challenges are also starting points and opportunities to strengthen health care systems in Africa through making changes such as significantly increasing health care funding, improving the reliability of funding, making equity a health policy priority, adopting "New Public Management" types of reforms, ensuring the supply and quality of inputs, making efforts to reinforce the systemic components of the health sector, and improving the quality and quantity of evaluations undertaken in the health sector.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it