Moral Intelligence in a Sample of Incarcerated Females
Bibliographic record
Abstract
This study investigated moral intelligence in a sample of 22 incarcerated females, comparing their performance to that of 20 incarcerated males and to a community sample of 23 women. Volunteers completed four self-report measures, including a demographics measure, Adult Nowicki-Strickland Internal-External Control Scale, Hogan Empathy Scale, and the Socialization, Responsibility, and Self-Control subscales of the California Psychological Inventory, plus three moral dilemmas. The main findings were as follows: (a) With respect to moral character, female inmates more closely resembled their male counterparts than they did the community women; (b) with respect to moral reasoning, female inmates were more apt to embrace an ethic of care versus justice than either of the other two groups; (c) discriminant function analysis revealed that the three groups were best distinguished by their scores on the socialization measure; and (d) females convicted of violent offenses had higher self-control scores than did other participants.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".