Bibliographic record
Abstract
Abstract Philippa Foot's Natural Goodness is in the midst of a cool reception. It appears that this is due to the fact that Foot's naturalism draws on a picture of the biological world at odds with the view embraced by most scientists and philosophers. Foot's readers commonly assume that the account of the biological world that she must want to adhere to, and that she nevertheless mistakenly departs from, is the account offered by contemporary neo‐Darwinian biological sciences. But as is evident in her notion of function, Foot does not employ an evolutionary view of the biological world. I will attempt to show, first, that it is for good reason that Foot is not operating with an evolutionary view of function; her views do not aim to unseat evolutionary views of function, but instead simply have quite different theoretical goals. Second, I aim to underline the importance to Foot's naturalism of the fact that we are practically reasoning creatures. The profundity of Foot's ethical naturalism rests in how she approaches our nature as practically reasoning creatures. In this aspect of Foot's thought, there is a significant Kantian strain that is surprising to find in someone who calls herself an ethical naturalist. 1
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.028 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".