ORIGINAL ARTICLE Intersectoral action for health at a municipal level in Cuba
Bibliographic record
Abstract
Ó The Author(s) 2011. This article is published with open access at Springerlink.com Objective To consider how Cuba’s acknowledged achievement of excellent health outcomes may relate to how health determinants are addressed intersectorally. Methods Our team of Canadian and Cuban researchers and health policy practitioners undertook a study to consider the organization and practices involved in addressing health determinants in 2 municipalities (1 urban and 1 rural). The study included a questionnaire of municipal Health Council members and others involved in health and non-health sectors, key informant interviews of policy makers, focus groups in each municipality and examination of three common case scenarios. Results Regular engagement of different sectors and other agencies in addressing health determinants was quite systematic and comparable in both municipalities. Specific policies and organizational structures in support of intersectoral actions were frequently cited and illustrated in case scenarios that demonstrate how maintenance of regular
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".