Construyendo puentes entre investigación y políticas para la extensión de la protección social en salud en América Latina y el Caribe: una estrategia de cooperación conjunta
Bibliographic record
Abstract
The Pan American Health Organization (PAHO) and International Development Research Centre (IDRC) have promoted a joint initiative to design, implement, and evaluate innovative strategies for the Extension of Social Protection in Health (SPH) in Latin America and the Caribbean (LAC), involving active partnership between researchers and research users. This initiative was based on a previous review of research on health sector reforms and the recommendations of the workshop on "Health Sector Reforms in the Americas: Strengthening the Links between Research and Policy" (Montreal, Canada, 2001). In its first phase, the initiative supported the development of proposals aiming to extend SPH, elaborated jointly by researchers and decision-makers. In the second phase, the implementation of five of these proposals was supported in order to promote the development of new SPH strategies and new stakeholder interaction models. In this edition of the journal, the process of linking researchers and decision-makers will be analyzed in the context of the five projects supported by this initiative.
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How this classification was reachedexpand
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".