The political origins of health inequity: prospects for change
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite large gains in health over the past few decades, the distribution of health risks worldwide remains extremely and unacceptably uneven. Although the health sector has a crucial role in addressing health inequalities, its eff orts often come into confl ict with powerful global actors in pursuit of other interests such as protection of national security, safeguarding of sovereignty, or economic goals. This is the starting point of The Lancet-University of Oslo Commission on Global Governance for Health. With globalisation, health inequity increasingly results from transnational activities that involve actors with diff erent interests and degrees of power: states, transnational corporations, civil society, and others. The decisions, policies, and actions of such actors are, in turn, founded on global social norms. Their actions are not designed to harm health, but can have negative sideeff ects that create health inequities. The norms, policies, and practices that arise from global political interaction across all sectors that aff ect health are what we call global political determinants of health.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it