A chip off the (im)moral block? Lay beliefs about genetic heritability predicts whether family members’ actions affect self‐judgments
Bibliographic record
Abstract
Abstract The idea of heritability may have consequences for individuals’ sense of self by connecting identity to the actions of others who happen to share genetic ties. Across seven experimental studies (total N = 2,628), recalling morally bad or good actions by family members influenced individuals’ moral self among those who endorse a lay belief that moral character is genetically heritable, but not among those who did not endorse this belief (Study 1–5). In contrast, recalling actions by unrelated individuals had no effect, regardless of lay beliefs (Study 2, 5), the endorsement of other relevant lay beliefs did not moderate the effect of parent's actions on self‐judgments (Study 3). Individuals who endorsed heritability beliefs also chose less helpful responses to hypothetical helping scenarios if they had recalled unhelpful (vs. helpful) acts by a genetically related family member (Study 5). Taken together, these studies suggest that lay beliefs in the role of genetics are important for self‐perceptions.
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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 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".