Global Health “With Justice”: The Challenges and Opportunities for Human Rights in Global Health Law
Bibliographic record
Abstract
Human rights offer to ground global health law in equity and justice. Human rights norms, advocacy, and strategies have proven successes in challenging private and public inequities and in realizing more equitable domestic and global health governance. However, mobilizing human rights within global health law faces enormous political, economic, technological, and epidemiological challenges, including from the corrosive health impacts of power, politics, and commerce. This article focuses on what human rights could bring to three major global health law challenges - health systems strengthening and universal health coverage, the commercial and economic determinants of health, and pandemic disease threats. We argue that human rights offer potentially powerful norms and strategies for achieving equity and justice in these and other key global health domains. The challenge for those working in human rights and global health law is to work nimbly, creatively, and courageously to strengthen the contribution of these instruments to health justice.
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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 | 0.041 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.114 |
| Scholarly communication | 0.021 | 0.029 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.017 | 0.018 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".