Linking Moral Identity With Moral Emotions: A Meta-Analysis
Why this work is in the frame
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Bibliographic record
Abstract
This meta-analysis examined the relationship between moral identity and moral emotions drawing on 57 independent studies. Moral identity was significantly associated with moral emotions, r = .32, p < .01, 95% confidence interval [CI: .27, .36]. Effect sizes were moderated by the type of moral emotion. Studies reporting other-regarding emotions (sympathy, empathy, and compassion) had the largest effect sizes ( r = .41), while negative other-evaluative emotions (moral anger, contempt, and disgust) had the smallest ( r = .16). Self-evaluative and other-evaluative positive emotions had intermediate effect sizes ( r values between .29 and .32). The type of emotion measure also was a significant moderator, with trait measures of emotion ( r = .38) correlating more strongly with moral identity than state measures ( r = .24). Effect sizes did not differ for the type of moral identity measure being used, publication status, or cultural origin of the study sample. The results of this meta-analysis demonstrate a robust empirical connection between moral identity and moral emotions, which confirms the multifaceted role of moral identity in moral functioning.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it