Philippa Foot's Virtue Ethics Has an Achilles' Heel
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT My aim in this article is to argue that Philippa Foot fails to provide a convincing basis for moral evaluation in her book Natural Goodness. Foot's proposal fails because her conception of natural goodness and defect in human beings either sanctions prescriptive claims that are clearly objectionable or else it inadvertently begs the question of what constitutes a good human life by tacitly appealing to an independent ethical standpoint to sanitize the theory's normative implications. Foot's appeal to natural facts about human goodness is in this way singled out as an Achilles' heel that undermines her attempt to establish an independent framework for virtue ethics. This problem might seem to be one that is uniquely applicable to the bold naturalism of Foot's methodology; however, I claim that the problem is indicative of a more general problem for all contemporary articulations of virtue ethics.
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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 | 0.010 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.013 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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 it