The role of moral emotions in the development of children’s sharing behavior.
Bibliographic record
Abstract
This study investigated the role of moral emotions in the development of children's sharing behavior (N = 244 4-, 8-, and 12-year-old children). Children's sympathy was measured with both self- and primary caregiver-reports, and participants anticipated their negatively and positively valenced moral emotions (i.e., feeling guilty, sad, or bad; and feeling proud, happy, or good) following actions that either violated or upheld moral norms. Sharing was measured through children's allocation of resources in the dictator game. Children's self-reported sympathy emerged as a significant predictor of sharing in early childhood. For children with low levels of sympathy, sharing was also predicted by negatively valenced moral emotions following the failure to perform prosocial actions. In addition, results demonstrated an age-related increase in sharing for boys between ages 4 and 8 and a decrease in sharing for boys between ages 8 and 12. We discuss the findings in relation to the emergence of 2 compensatory emotional pathways to sharing, 1 via sympathy and 1 via negatively valenced moral emotions.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".