Bibliographic record
Abstract
The past 25 years have seen enormous shifts in the environmental, political, economic and social landscapes that condition people's abilities to be healthy. Climate change is now a reality. China, India, Brazil and other 'developing' countries are emerging as new axes of political and economic power. Global capitalism has become increasingly predatory and crisis ridden, a result of unregulated and irresponsible greed of unimaginable scale. The elite response has been the increased erosion of the health and other social protection policies of redistribution that characterized the first-world run-up to the Ottawa Charter. These new realities challenge health promoters in ways unforeseen a quarter century ago. It is imperative that local determinants of health, to which health promoters give their attention, be traced to broader, even global levels of determinants. Support for groups acting at these levels should become a fundamental practice tenet. So, too, should advocacy for the social state, in which progressive taxation and hefty social investment blunt the health inequalities created by unfettered markets. As environmental and economic insecurities and inequalities increase in many of the world's countries, so does the risk of xenophobia and conflict. The roots of racism are complex; but weeding them out becomes another health promotion practice of the new millennium. There are some hopeful signs of health promoting political change, much of it emanating now from countries in the global South; but the threat of a return to health behaviourism in the face of the new global pandemic of chronic disease is real and must be confronted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.034 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.008 | 0.024 |
| Scholarly communication | 0.018 | 0.017 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.022 | 0.042 |
| Insufficient payload (model declined to judge) | 0.025 | 0.008 |
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".