Globalization and social determinants of health: Promoting health equity in global governance (part 3 of 3)
Bibliographic record
Abstract
This article is the third in a three-part review of research on globalization and the social determinants of health (SDH). In the first article of the series, we identified and defended an economically oriented definition of globalization and addressed a number of important conceptual and metholodogical issues. In the second article, we identified and described seven key clusters of pathways relevant to globalization's influence on SDH. This discussion provided the basis for the premise from which we begin this article: interventions to reduce health inequities by way of SDH are inextricably linked with social protection, economic management and development strategy. Reflecting this insight, and against the background of the Millennium Development Goals (MDGs), we focus on the asymmetrical distribution of gains, losses and power that is characteristic of globalization in its current form and identify a number of areas for innovation on the part of the international community: making more resources available for health systems, as part of the more general task of expanding and improving development assistance; expanding debt relief and taking poverty reduction more seriously; reforming the international trade regime; considering the implications of health as a human right; and protecting the policy space available to national governments to address social determinants of health, notably with respect to the hypermobility of financial capital. We conclude by suggesting that responses to globalization's effects on social determinants of health can be classified with reference to two contrasting visions of the future, reflecting quite distinct values.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".