The role of empathy in children's costly prosocial lie‐telling behaviour
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The aim of the present study was to examine the role of induced empathy and parent‐reported empathy (i.e., affective and cognitive) as underlying motives for children's prosocial lie‐telling tendencies. An experimental paradigm was used to elicit prosocial lies in children ( N = 146, 7–11 years) in varying cost (low‐cost/high‐cost) and induction (empathy/neutral) conditions. Results indicate that induced empathy predicts prosocial lie likelihood and maintenance in low‐cost conditions, and that cognitive empathy is a predictor of lie‐likelihood. Post‐hoc analyses revealed that a large portion of children chose to prosocially share with the distressed confederate, regardless of whether they lied for them. Individuals who shared were more likely to share in low‐cost conditions, and also had higher cognitive empathy. Overall, this study provides unique insights into the role of empathy as an underlying cognitive process for children's prosocial decision‐making. Highlights The role of empathy was examined in relation to children's prosocial lying and sharing behaviour in low‐ and high‐cost conditions. Parent‐reported cognitive empathy predicted both lying and sharing in an experimental paradigm; induced empathy only predicted lying in low‐cost conditions. Overall, empathy proved to be an important underlying motive for children's prosocial decision‐making.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it