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Record W2592905062 · doi:10.1177/1948550617691095

Ideology and Voice

2017· article· en· W2592905062 on OpenAlexafffund
Jacquie D. Vorauer, Matthew Quesnel

Bibliographic record

VenueSocial Psychological and Personality Science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversity of Manitoba
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSalientMulticulturalismSocial psychologyIdeologyPsychologySituational ethicsMinority groupEthnic groupCLARITYFace (sociological concept)Set (abstract data type)SociologyPoliticsPolitical science

Abstract

fetched live from OpenAlex

What situational forces might enhance ethnic minority group members’ voice and ability to exert social influence during exchanges with dominant group members? Two experiments involving face-to-face dyadic intergroup interaction examined whether making multiculturalism salient to minority group members would increase the extent to which they persuaded a dominant interaction partner of their own point of view on a series of controversial social issues. Results were consistent with this hypothesis and further indicated that minority group members expressed their own point of view more clearly and directly when multicultural ideology was made salient to them as compared to when it was not, which contributed (marginally) to their heightened persuasiveness. Salient multiculturalism did not have comparable effects on dominant group members’ persuasiveness or clarity of expression. These results raise the possibility that making multicultural ideology salient might set the stage for minority group members to have a stronger voice in intergroup exchanges.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.017
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.142
GPT teacher head0.486
Teacher spread0.343 · 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; both teacher heads agree on what is shown here.

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

Citations7
Published2017
Admission routes2
Has abstractyes

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