Virtues as Perfections of Human Powers: On the Metaphysics of Goodness in Aristotelian Naturalism
Bibliographic record
Abstract
Abstract The central idea of Philippa Foot’s Natural Goodness is that moral judgments belong to the same logical kind of judgments as those that attribute natural goodness and defect to plants and animals. But moral judgments focus on a subset of human powers that play a special role in our lives as rational animals, namely, reason, will, and desire. These powers play a central role in properly human actions: those actions in which we go for something that we see and understand as good. Many readers of Foot resolutely ignore what she says about the human good being sui generis and obstinately continue to read her as advocating a version of naturalism grounded in empirical study of human nature. One might wonder how else it could count as a naturalistic view unless we could square the view with nature as studied by the empirical sciences. In this paper, I propose a metaphysical response to this question: help can come from turning to recent defenses of Aristotelian essentialism. Foot’s naturalism can square with nature as interpreted through the lens of Aristotelian essentialism. On such a view, the virtues are perfections of human powers including reason, will, and desire.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.035 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".