Becoming Kinder: Prosocial Choice and the Development of Interpersonal Regret
Bibliographic record
Abstract
Three experiments examined children's ability to feel regret following a failure to act prosocially. In Experiment 1, ninety 6- to 7-year-olds and one hundred seven 7- to 9-year-olds were given a choice to donate a resource to another child. If they failed to donate, they discovered that this meant the other child could not win a prize. Children in both age groups then showed evidence of experiencing regret, although not in control conditions where they had not made the choice themselves or their choice did not negatively affect the other child. In Experiment 2, eighty-five 5- to 6-year-olds and one hundred nine 7- to 9-year-olds completed the same task; only the older group showed evidence of regret. In Experiment 3, with one hundred thirty-four 6- to 7-year-olds, experiencing regret was associated with subsequently making other prosocial choices.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".