Clarifying Gender Differences in Moral Dilemma Judgments: The Complementary Roles of Harm Aversion and Action Aversion
Bibliographic record
Abstract
Moral dilemmas entail situations where decisions consistent with deontological principles (following moral rules) conflict with decisions consistent with utilitarian principles (maximizing overall outcomes). Past work employing process dissociation (PD) clarified that gender differences in utilitarianism are modest, but women are substantially more deontological than men. However, deontological judgments confound two motivations: harm aversion and action aversion. The current work presents a mega-analysis of eight studies ( N = 1,965) using PD to assess utilitarian and deontological response tendencies both when deontology entails inaction and when it requires action, to assess the independent contributions of harm aversion and action aversion. Results replicate and clarify past findings: Women scored higher than men on deontological tendencies, and this difference was enhanced when the deontological choice required refraining from harmful action rather than acting to prevent harm. That is, gender differences in deontological inclinations are caused by both harm aversion and action aversion.
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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 | 0.007 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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".