Health promotion activities in China from the Ottawa Charter to the Bangkok Charter: revolution to evolution
Bibliographic record
Abstract
China has the world's largest population. In the past, the public health system in mainland China has been strongly influenced by the former Soviet Union. Hong Kong and Macao, the Special Administrative Regions (SAR), have been under colonial administration adopting a laisser-faire approach to health policy. Over the most recent decades, mainland China and the two SARs have adopted the Ottawa Charter principles and re-orientated the healthcare systems towards greater community participation, built a healthy environment in different settings and developed capacity in health promotion. Positive results have resulted from efforts to move towards a bottom-up approach to health promotion, using the overarching framework of Healthy Settings. Adequate resources will be needed to build up the infrastructure for sustainable development of health promotion initiatives. This report is selective, rather than comprehensive and will highlight specific health promotion activities in different parts of China, reflecting how the approach to health promotion has evolved since Ottawa. An analysis will be made of the potentials of these initiatives to take forward the spirit of the Ottawa Charter in paving the way for the Bangkok Charter.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".