Implementation of Mexico's Health Promotion Operational Model.
Bibliographic record
Abstract
Mexico is undergoing profound health reform, extending health insurance to previously uninsured populations and changing the way health care services are delivered. Legislation enacted in 2003 and implemented in 2004 mandated funding and infrastructure that will allow 52% of Mexico's population to access medical care at no cost by 2010. This ambitious social reform has not been without challenges, particularly financial sustainability. Health promotion, because of its potential to prevent or delay chronic diseases and injuries and their associated costs, is a key component of health care reform. In 2006, the Ministry of Health's General Directorate of Health Promotion developed the Health Promotion Operational Model. Based on Ottawa Charter functions, the model integrates health promotion activities within the overall health care system. The main goal of this model is to build strong human capital and to improve organizational capacity for health promotion starting at the local level by training health care personnel to implement health promotion activities. Organizational development workshops started in 2006, and implementation plans in all 32 Mexican states were in place by end of 2008.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".