Bibliographic record
Abstract
Are positive duties to help others in need mere informal duties of virtue or can they also be enforceable duties of justice? In this paper I defend the claim that some positive duties (which I call basic positive duties) can be duties of justice against one of the most important principled objections to it. This is the libertarian challenge, according to which only negative duties to avoid harming others can be duties of justice, whereas positive duties (basic or nonbasic) must be seen, at best, as informal moral requirements or recommendations. I focus on the contractarian version of the libertarian challenge as recently presented by Jan Narveson. I claim that Narveson's contractarian construal of libertarianism is not only intuitively weak, but is also subject to decisive internal problems. I argue, in particular, that it does not provide a clear rationale for distinguishing between informal duties of virtue and enforceable duties of justice, that it can neither successfully justify libertarianism's protection of negative rights nor its denial of positive ones, and that it fails to undermine the claim that basic positive duties are duties of global justice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".