Individual and ‘national’ healthcare rights: Analysing the potential conflicts
Bibliographic record
Abstract
Individual rights to healthcare (RTHCs) are increasingly common in law. Yet even plausible theoretical defences thereof raise a classic problem in the philosophy of rights: How do individual rights relate to 'collective' rights within the same domain? Collective rights are common in international law and in the domestic laws of states that recognize RTHCs. These collective rights often include health-related components. There are at least prima facie plausible reasons to think that such collective 'health rights' should exist. A complete account of health rights should thus explain how individual and collective health rights claims relate to one another and what one should do in cases where the claims conflict. This work contributes to our understanding of health rights by analysing the relationship between individual RTHCs and a plausible candidate collective health right, namely a sub-state national right to control healthcare law and policy. It argues that concerns about rights conflicts in this context make sense, but genuine conflicts between individual health rights and national control over healthcare are rare. The strongest cases for sub-state national 'self-determination' rights do not implicate healthcare, or tend not to provide reasons to override any individual RTHCs. Conflicts are possible in rare cases and may even favour fulfilling the collective rights claims. Yet individual RTHCs remain important even in those cases. Individual rights remain useful measures for evaluating the exercise of collective rights: exercises that violate (or even fail to fulfil) individual health rights are worse for so doing.
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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 | 0.018 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.045 |
| Scholarly communication | 0.012 | 0.019 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".