Global health governance in the sustainable development goals: Is it grounded in the right to health?
Bibliographic record
Abstract
This paper explores the extent to which global health governance - in the context of the early implementation of the Sustainable Development Goals is grounded in the right to health. The essential components of the right to health in relation to global health are unpacked. Four essential functions of the global health system are assessed from a normative, rights-based, analysis on how each of these governance functions should operate. These essential functions are: the production of global public goods, the management of externalities across countries, the mobilization of global solidarity, and stewardship. The paper maps the current reality of global health governance now that the post-2015 Sustainable Development Goals are beginning to be implemented. In theory, the existing human rights legislation would enable the principles and basis for the global governance of health beyond the premise of the state. In practice, there is a governance gap between the human rights framework and practices in global health and development policies. This gap can be explained by the political determinants of health that shape the governance of these global policies. Current representations of the right to health in the Sustainable Development Goals are insufficient and superficial, because they do not explicitly link commitments or right to health discourse to binding treaty obligations for duty-bearing nation states or entitlements by people. If global health policy is to meaningfully contribute to the realization of the right to health and to rights based global health governance then future iterations of global health policy must bridge this gap. This includes scholarship and policy debate on the structure, politics, and agency to overcome existing global health injustices.
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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 | 0.022 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.069 |
| Scholarly communication | 0.017 | 0.027 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 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".