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Record W2551460747 · doi:10.1111/josi.12176

Self‐Expansion and Intergroup Contact: Expectancies and Motives to Self‐Expand Lead to Greater Interest in Outgroup Contact and More Positive Intergroup Relations

2016· article· en· W2551460747 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Social Issues · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsSimon Fraser University
FundersAustralian Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsOutgroupSocial psychologyPsychologyMulticulturalismInterpersonal communicationGlobeContact hypothesisPrejudice (legal term)Diversity (politics)Interpersonal relationshipIntervention (counseling)Sociology

Abstract

fetched live from OpenAlex

Sixty years of research on intergroup contact demonstrates that positive interactions across group boundaries can improve intergroup attitudes and can contribute to forging tolerant, integrated, multicultural societies. However, to fully realize the benefits of growing diversity around the globe, individuals need to exploit opportunities for intergroup contact that are available to them. Yet, it is relatively unknown why people might deliberately engage in cross‐group interactions and how individuals’ expectations and motives prepare them to develop positive interpersonal relationships with outgroup members. In this article, we begin to address these research gaps. We discuss the self‐expansion model and present new evidence that is consistent with this model. Two studies, one correlational in a cross‐cultural setting and the other experimental, show the value of high self‐expansion expectancies and motivation in promoting interest in and producing more and higher quality interactions across group boundaries. We discuss implications of these findings for policy and intervention.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.717

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.028
GPT teacher head0.339
Teacher spread0.311 · 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