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Record W3212947576 · doi:10.1111/desc.13191

Young children form generalized attitudes based on a single encounter with an outgroup member

2021· article· en· W3212947576 on OpenAlexaff
Chengfei Yu, Miao Qian, Jamie Amemiya, Genyue Fu, Kang Lee, Gail D. Heyman

Bibliographic record

VenueDevelopmental Science · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
FundersNational Natural Science Foundation of China
KeywordsOutgroupPsychologySocial psychologyDevelopmental psychologyIngroups and outgroupsImplicit attitude

Abstract

fetched live from OpenAlex

The goal of the present research was to assess whether children's first interaction with a single outgroup member can significantly impact their general attitudes toward the outgroup as a whole. In two preregistered studies, 5- to 6-year-old Chinese children (total N = 147) encountered a Black adult from another country for the very first time, and they played a game together. General attitudes toward the outgroup were assessed using both implicit and explicit measures. In both studies, the interaction resulted in less negative explicit attitudes toward Black people, but more negative implicit attitudes. The results demonstrate for the first time that one encounter with a single outgroup member can impact children's general attitudes toward that group, and that it can have differential effects on implicit and explicit attitudes.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.032
GPT teacher head0.323
Teacher spread0.292 · 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

Citations13
Published2021
Admission routes1
Has abstractyes

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