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Record W2152828853 · doi:10.1037/a0026021

Do nice guys—and gals—really finish last? The joint effects of sex and agreeableness on income.

2011· article· en· W2152828853 on OpenAlexaff
Timothy A. Judge, Beth A. Livingston, Charlice Hurst

Bibliographic record

VenueJournal of Personality and Social Psychology · 2011
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsWestern University
Fundersnot available
KeywordsAgreeablenessPsychologySocial psychologyAffect (linguistics)Big Five personality traitsPersonalityDevelopmental psychologyExtraversion and introversionCommunication

Abstract

fetched live from OpenAlex

Sex and agreeableness were hypothesized to affect income, such that women and agreeable individuals were hypothesized to earn less than men and less agreeable individuals. Because agreeable men disconfirm (and disagreeable men confirm) conventional gender roles, agreeableness was expected to be more negatively related to income for men (i.e., the pay gap between agreeable men and agreeable women would be smaller than the gap between disagreeable men and disagreeable women). The hypotheses were supported across 4 studies. Study 1 confirmed the effects of sex and agreeableness on income and that the agreeableness-income relationship was significantly more negative for men than for women. Study 2 replicated these results, controlling for each of the other Big Five traits. Study 3 also replicated the interaction and explored explanations and paradoxes of the relationship. A 4th study, using an experimental design, yielded evidence for the argument that the joint effects of agreeableness and gender are due to backlash against agreeable men.

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)0.002
metaresearch head score (Gemma)0.014
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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.123
GPT teacher head0.414
Teacher spread0.291 · 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

Citations217
Published2011
Admission routes1
Has abstractyes

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