Bibliographic record
Abstract
In this paper I compare two models of expert judgment: the art critic in Hume’s “Of the Standard of Taste” and the “wise man” in “Of Miracles.” The art critic is a true judge of beauty because he has made himself into a person who is optimally receptive to beauty. He possesses the virtues of taste: “Strong sense, united to delicate sentiment, improved by practice, perfected by comparison, and cleared of all prejudice” (“Of the Standard of Taste,” 241). But the virtues of the art critic, I argue, are also those of the “wise man,” the person who consistently “proportions his belief to the evidence” (EHU 10.4; SBN 110). Comparison of these two characters reveals that for Hume the virtues fundamental to the art critic’s critical competence are also epistemic virtues. Hume’s exposition of aesthetic excellences should thus be of interest for virtue epistemology. Because contemporary virtue epistemologists have tended to focus almost exclusively on the relationships between intellectual and moral virtues, Hume offers something new: an account of epistemic virtues based on aesthetic virtues.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.043 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 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".