Bibliographic record
Abstract
Abstract I argue for an egalitarian conception of modesty. Modesty is a virtue because an apt expression of what is, and is not, morally salient in our attitudes toward persons and is important because we are prone to arrogance, self‐importance, and hero worship. To make my case, I consider 3 claims which have shaped recent discussions: first, that modesty is valuable because it obviates destructive social rankings; second, that modesty essentially involves an indifference to how others evaluate one's accomplishments; and third, the widespread but normatively fraught assumption that the modest person is deserving of credit. Although the first 2 features identify something significant about modesty, they fail to ground it. I argue that appeals to deserved credit bear a larger explanatory burden than has been supposed; they can smuggle in the illegitimate social hierarchies that modesty is supposed to counter. I make my case for modesty as an excellence in moral perspective by arguing that prominent, nonegalitarian, accounts of modesty allow for or promote illegitimate forms of social privilege. Modesty is valuable because it expresses a commitment to fair distribution of basic moral recognition and a skillful response to unjust social hierarchies at odds with this fair distribution.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.030 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".