Letter to the Health Promotion International journal--response from Dr Gro Harlem Brundtland
Bibliographic record
Abstract
Health promotion has been, and remains, a cornerstone of WHO policies and actions. I made this point in Mexico (see this issue, pp. 95–98) and repeat it here. Health promotion actions permeate all technical programs. Concerns raised about changes in the way we are organizing health promotion work in WHO should not be equated with reduced institution-wide support for health promotion. In fact, by mainstreaming health promotion, we intend to ensure that the best health promotion practices are used to improve defined health outcomes in all populations. The Ottawa Charter provided inspiration and ideas for many in public health, as has the Commission on Sustainable Development (following the 1992 UNCED conference) as well as the global movements that have recently culminated in the follow-up to the Social Summit, the Beijing Conference on Women and others. A new development paradigm is emerging that gives greater centrality to health in general. Ottawa, Rio, Beijing, Copenhagen and many other major meetings have aided this convergence. WHO's new Macro-Economic Commission on Health, our separate cluster on Sustainable Development with its focus on poverty, cross-sectoral policies and globalization, and our pathfinder projects, Roll Back Malaria and the Tobacco Free Initiative, all draw in partners from many sectors and institutions. They do so increasingly with a clear and definable purpose and focus in a rapidly changing world. Between them, this growing array of partnerships covers all major aspects of public health. The evidence that many aspects of health promotion make a difference is growing, and the difference is always measured in terms of reduced risks for disease, or for improved health outcomes, including quality of life measures. Our two biggest challenges are to continue this work at the macro determinant level with a wide range of partners and ensure that processes and interventions that reduce the burden of unnecessary suffering among the poorest communities and countries are increasingly developed. That way the aim of the Mexico meeting, to reduce inequities in health, will be achieved. I urge you all to join us and thank the International Union on Health Promotion and Education for establishing a reference group to work closely with WHO as we move ahead.
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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 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.031 | 0.037 |
| Insufficient payload (model declined to judge) | 0.041 | 0.027 |
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".