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Record W2107889406 · doi:10.1177/1088868311411103

Cross-Group Friendships and Intergroup Attitudes

2011· review· en· W2107889406 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.

Bibliographic record

VenuePersonality and Social Psychology Review · 2011
Typereview
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSocial psychologyPsychologyGroup (periodic table)Group conflictPrejudice (legal term)Ingroups and outgroups

Abstract

fetched live from OpenAlex

This work identifies how cross-group friendships are conceptualized and measured in intergroup research, investigates which operationalizations yield the strongest effects on intergroup attitudes, explores potential moderators, and discusses the theoretical importance of the findings. Prior meta-analyses have provided initial evidence that cross-group friendships are especially powerful forms of intergroup contact. Although studies of cross-group friendship have grown considerably in recent years, varied assessments leave us without a clear understanding of how different operationalizations affect relationships between friendship and attitudes. With a greatly expanded database of relevant studies, the authors compared friendship-attitude associations across a wide range of specific conceptualizations. Time spent and self-disclosure with outgroup friends yielded significantly greater associations with attitudes than other friendship measures, suggesting that attitudes are most likely to improve when cross-group friendships involve behavioral engagement. Processes underlying cross-group friendships are discussed, as are implications for future research and application.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.263
GPT teacher head0.517
Teacher spread0.254 · 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