Aidos: Nurturing Social Shame as a Moral Virtue from Plato’s Perspective
Bibliographic record
Abstract
Introduction: In his collected works on ethical inquiry, Plato presents two distinct approaches. The first approach denies that virtue (arete) can be taught, considering not everyone worthy of education, and emphasizes the exclusivity of moral training. The second approach, however, is more practical and inclusive, suggesting that all people are capable of acquiring virtues such as aidos (shame). The present study explores the concept of aidos and the nurture of social shame as a moral virtue in Plato’s thought. Material and Methods: The present study is a review article that works on social shame as a moral virtue. To achieve the goal, articles and books published in this domain were reviewed. Conclusion: In the Socratic dialogue Charmides, Plato directly raises the question of whether aidos qualifies as a virtue. In Protagoras, he discusses the teachability of aidos, asserting that this virtue, unlike specialized skills, should be shared by all members of society, provided they can nurture it through learning.
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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 | 0.002 | 0.002 |
| 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 | 0.032 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 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".