(Re)Invigorating the World Health Organization’s Governance of Health Rights: Repositing an Evolving Legal Mandate, Challenges and Prospects
Bibliographic record
Abstract
Abstract State centred discourse on international law and human rights often diminishes the obligations of global health institutions in international law to advance health related human rights and as sites for the progressive development and implementation of health rights. The constitution of the World Health Organization (WHO) provides an expansive role for human rights protection and promotion in realizing public health, but WHO has faced hurdles in effectively carrying out this role. Current scholarship continues to underscore the normative challenges facing WHO concerning its limited use of international law including human rights to promote health. This article goes a step further and explores the evolving international legal and institutional basis for WHO’s future direction in strengthening the governance of human rights. It revisits WHO’s evolving and expanding human rights mandate, challenges and prospects within WHO law, the broader United Nations law, policy and practice as well as general international law. Despite the limitations, WHO has evolving institutional mechanisms rooted in international law that comprise a pivotal site for human rights normative and operational work at the global, regional and domestic levels. The article examines these mechanisms and suggests concrete ways and options in which WHO can advance health rights.
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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 | 0.052 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.063 |
| Scholarly communication | 0.017 | 0.014 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.002 | 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".