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Record W2045009686 · doi:10.1177/0146167215575731

Gender Differences in Responses to Moral Dilemmas

2015· article· en· W2045009686 on OpenAlexaff
Rebecca Friesdorf, Paul Conway, Bertram Gawronski

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2015
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsDeontological ethicsPsychologyMoralityHarmUtilitarianismSocial psychologyConsistency (knowledge bases)Action (physics)CognitionConsequentialismDilemmaMoral dilemmaEpistemology

Abstract

fetched live from OpenAlex

The principle of deontology states that the morality of an action depends on its consistency with moral norms; the principle of utilitarianism implies that the morality of an action depends on its consequences. Previous research suggests that deontological judgments are shaped by affective processes, whereas utilitarian judgments are guided by cognitive processes. The current research used process dissociation (PD) to independently assess deontological and utilitarian inclinations in women and men. A meta-analytic re-analysis of 40 studies with 6,100 participants indicated that men showed a stronger preference for utilitarian over deontological judgments than women when the two principles implied conflicting decisions (d = 0.52). PD further revealed that women exhibited stronger deontological inclinations than men (d = 0.57), while men exhibited only slightly stronger utilitarian inclinations than women (d = 0.10). The findings suggest that gender differences in moral dilemma judgments are due to differences in affective responses to harm rather than cognitive evaluations of outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.376
GPT teacher head0.374
Teacher spread0.002 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations302
Published2015
Admission routes1
Has abstractyes

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