Bibliographic record
Abstract
This paper examines two strategies aimed at demonstrating that moral obligations to improve global health exist. The ‘humanitarian model’ stresses that all human beings, regardless of affluence or global location, are fundamentally the same in terms of moral status. This model argues that affluent global citizens’ moral obligations to assist less fortunate ones follow from the desirability of reducing disease and suffering in the world. The ‘political model’ stresses that the lives of the world's rich and poor are inextricably linked because of harmful state-to-state actions and because of the currently existing transnational institutions. These institutions’ design at once secures the high standard of living of the affluent and reinforces the continued foreseeable—and avoidable—deprivation of many of the global poor; and these give rise to compensatory health-related moral obligations beyond borders. This paper argues that political reasoning is unsuitable for the crucial task of determining priority in the receipt of health aid. We conclude that in the context of global health ethics, political reasoning must be supplemented with, if not replaced by, humanitarian reasoning.
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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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.033 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 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".