To Whom Can I Turn? Maintenance of Positive Intergroup Relations in the Face of Intergroup Conflict
Bibliographic record
Abstract
Intergroup conflict is a salient aspect of our social world, yet relatively little is known about the way intergroup conflicts affect subsequent intergroup interactions. The present research employed a daily diary methodology to examine how cross-group friendship affects intergroup approach and avoidance after intergroup conflict. After assessing the diversity and quality of participants’ social networks, the daily social interactions of 60 participants were tracked for 10 days. Among individuals with low-quality or no cross-group friends, intergroup conflict on a preceding day predicted reductions in self-initiated intergroup interactions on the following day. However, individuals with close cross-group friends did not avoid intergroup interactions after intergroup conflict. This effect was mediated by the degree to which people with close cross-group friends sought social support from out-group members in the social interactions that followed intergroup conflict. The implications of these findings for maintenance of positive intergroup relations are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".