Bibliographic record
Abstract
In this paper, I argue that virtue ethics is unfortunately committed to a developmentally detrimental form of moral evaluation in its traditional iterations. That is, first, because both action guidance and moral development are central to virtue ethic and, second, because virtue ethics permits or requires character appraisal in moral education and child-rearing through praise and blame. However, studies from developmental and clinical psychology show that praise or blame involving character appraisal can be detrimental to children and, especially, to women and girls. While not all empirical studies point in this direction, the data are sufficiently murky to warrant an objection to virtue ethics along the lines of a situationism. Using a feminist and care-oriented critique, I argue this could pose a problem for virtue ethics. However, I argue that the criterion of moral evaluation can and must be distinguished from successful moral education of children to avoid this problem. By focusing on behavior instead of character, moral agents can avoid the harm virtue ethics may cause. Finally, I respond to an objection that doing so makes virtue ethics esoteric or self-effacing and argue that it fares no worse than other moral theories.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.005 |
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; both teacher heads agree on what is shown here.
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".