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Record W4406670171 · doi:10.1037/dev0001908

Who cares about caring? Gender stereotypes about communal values emerge early and predict boys’ prosocial preferences.

2025· article· en· W4406670171 on OpenAlexafffund
Katharina Block, Cameron E Hall, Antonya Marie Gonzalez, Andrei Cimpian, Toni Schmader, Andrew Scott Baron

Bibliographic record

VenueDevelopmental Psychology · 2025
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsProsocial behaviorPsychologyDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

= 379; 92 girls, 287 boys; majority White and East Asian or Pacific Islander). We assessed children's stereotypes about communal values (Studies 1 and 2; e.g., "Who do you think cares more about always helping other people, even if it takes effort? Boys or girls?"), as well as the extent to which children themselves (a) valued communion and (b) displayed interest in communal activities (Study 2). In both studies, we found that children older than 6 consistently associated communal values with girls more than with boys. Younger children, in contrast, exhibited an ingroup bias-they associated communal values with their own gender. Study 2, which included only boys, found that endorsement of stereotypes associating communal values with girls predicted lower personal endorsement of communal values and lower interest in communal activities among boys older, but not younger, than 6. These results suggest that gender stereotypes about communal values are learned early and predict boys' disengagement from communal domains. Implications for gender differences in values and behavior are discussed. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.078
GPT teacher head0.381
Teacher spread0.303 · 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 teacher head, not a consensus.

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

Citations10
Published2025
Admission routes2
Has abstractyes

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