Varieties of Moral Personality: Beyond the Banality of Heroism
Bibliographic record
Abstract
Four perspectives dominate thinking about moral heroism: One contends that moral action is primarily instigated by situational pressures, another holds that moral excellence entails the full complement of virtues, the third asserts a single superintending principle, and the fourth posits different varieties of moral personality. This research addresses these competing perspectives by examining the personalities of moral heroes. Participants were 50 national awardees for moral action and 50 comparison individuals. They responded to personality inventories and a life-review interview that provided a broadband assessment of personality. Cluster analysis of the moral exemplars yielded three types: a "communal" cluster was strongly relational and generative, a "deliberative" cluster had sophisticated epistemic and moral reasoning as well as heightened self-development motivation, and an "ordinary" cluster had a more commonplace personality. These contrasting profiles imply that exemplary moral functioning can take multifarious forms and arises from different sources, reflecting divergent person x situation interactions.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".