Two replications of an investigation on empathy and utilitarian judgement across socioeconomic status
Bibliographic record
Abstract
Research by Côté, Piff, and Willer (2013) found that through the induction of empathy in an experimental condition, the association between socioeconomic status (SES) and utilitarian moral judgment was diminished. Participant self-reported income interacted with experimental condition such that high SES participants who empathized with a disadvantaged group member redistributed fewer experimental dollars during an online task at the losing member's expense. This suggests that lower levels of empathy could help explain utilitarian decision-making in high SES individuals. Two pre-registered, high-powered replications were conducted in order to assess the magnitude and reliability of this finding. While the first replication attempt failed to uncover the effect, the second attempt found a pattern consistent with the original study. A meta-analysis of the replication attempts with the original author's interaction effects was conducted. The confidence interval of the meta-analytic effect suggests that the true effect size may be as robust as reported by the original authors, or may be close to zero. Implications of the results found in the replication attempts are discussed.
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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 | 0.026 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.007 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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 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".