Dirtying Aristotle's Hands? Aristotle's Analysis of 'Mixed Acts' in the Nicomachean Ethics III, 1
Bibliographic record
Abstract
Abstract The analysis of 'mixed acts' in Nicomachean Ethics III, 1 has led scholars to attribute a theory of 'dirty hands' and 'impossible oughts' to Aristotle. Michael Stocker argues that Aristotle recognizes particular acts that are simultaneously 'right, even obligatory', but nevertheless 'wrong, shameful and the like'. And Martha Nussbaum commends Aristotle for not sympathizing 'with those who, in politics or in private affairs, would so shrink from blame and from unacceptable action that they would be unable to take a necessary decision for the best'. In this paper I reexamine Aristotle's analysis of putatively 'mixed acts' in Nicomachean Ethics III, 1, maintaining that Aristotle denies that there are acts that are (i) voluntary under the circumstances, (ii) right, all things considered, under the circumstances, but nevertheless (iii) shameful or wrong for moral or prudential reasons under the circumstances. The paper defends this interpretation with reference to Aristotle's discussion of shame in EN IV, 9 and Rhetoric II, 6, as well as his overall meta-ethical commitment to a position I call 'mitigated circumstantial relativism'. By focusing on Aristotle's analysis of putatively 'mixed acts', we come closer to a true appreciation of Aristotle's ethical theory, even though 'mixed act' is not, I argue, a category in Aristotle's considered ontology of action.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.026 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".