Understanding the right to health in the context of collective rights to self‐determination
Bibliographic record
Abstract
The obligations set by the individual right to health are likely to conflict, at least if states are its addressee, with the obligations set by the collective rights to self-determination that certain sub-state communities have (or should be recognized). In this paper, I argue that conceiving of the right to health and of collective rights to self-determination as both aiming at the promotion of individual agency might help us alleviate this particular problem. To do so, I first explain how we can conceive of the right to health and of collective rights to self-determination as protecting crucial aspects of individuals' agency. It is because both health and the capacity to participate in particular collectives are important ways in which our agency is enabled. I then argue that this conception of the purpose of those rights offers a principle to guide our practical deliberation when the protection of health and the protection of collective self-determination seem to conflict. Finally, I specify how I think this principle might guide us when it comes to understanding the obligations that the right to health sets for the state towards members of self-determining sub-state communities, both in terms of the provision of healthcare goods and services and the provision of the underlying determinants of health.
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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 | 0.015 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.079 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".