Bibliographic record
Abstract
A recently proposed dual process theory of moral decision-making posits that utilitarian reasoning (approving of harmful actions that maximize good consequences) is the result of cognitive control of emotion. This suggests that deficits in emotional awareness will contribute to increased utilitarianism. The present study explored the relative contributions of the different facets of alexithymia and the closely related constructs of emotional intelligence and mood awareness to utilitarian decision making. Participants (N = 86) completed the Toronto Alexithymia Scale, Trait Meta Mood Scale, the Mood Awareness Scale, and a series of high-conflict, personal moral dilemmas validated by Greene et al. (2008). A brief neuropsychological battery was also administered to assess the possible confounds of verbal reasoning and abstract thinking ability. Principal components analysis revealed two latent factors-clarity of emotion and attention to emotion-which cut across all three meta-emotion instruments. Of these, low clarity of emotion-reflecting difficulty in reasoning thoughtfully about one's emotions-predicted utilitarian outcomes and provided unique variance beyond that of verbal and abstract reasoning abilities. Results are discussed in the context of individual differences in emotion regulation.
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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 | 0.012 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".