Bibliographic record
Abstract
Abstract This paper examines H.A. Prichard's defense of the view that moral duty is underivative, as reflected in his argument that it is a mistake to ask “Why ought I to do what I morally ought?”, because the only possible answer is “Because you morally ought to.” This view was shared by other philosophers of Prichard's period, from Henry Sidgwick through A.C. Ewing, but Prichard stated it most forcefully and defended it best. The paper distinguishes three stages in Prichard's argument: one appealing to his conceptual minimalism, one an epistemological argument that parallels Moore's response to skepticism about the external world, and one arguing that attempts to justify moral duties on non-moral grounds distort the phenomena by giving those duties the wrong explanation or ground. The paper concludes by considering Prichard's critique of ancient ethics and in particular the ethics of Aristotle. The paper is broadly sympathetic to Prichard's position and arguments; its aim is partly to make a case for him as a central figure in the history of ethics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 | 0.018 |
| 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 | 0.059 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 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".