Can cross-group contact turn advantaged group members into allies? The role of inequality-delegitimizing contact and interpersonal connection
Bibliographic record
Abstract
Previous research shows that positive contact with members of disadvantaged groups can have positive, neutral, or negative effects on advantaged group members’ support of actions for social change towards more equality. The present work provides an experimental test of this effect and introduces two moderators which highlight the fundamental role of (a) communication about perception of the illegitimacy of intergroup inequality and (b) interpersonal connection with the contact partner. In two experiments ( N = 88 and N = 192), first-time cross-group contact was initiated between members of two universities that differ on social status. Results revealed that cross-group contact per se did not increase advantaged group members’ solidarity-based action to reduce inequality. However, cross-group contact did increase advantaged group members’ solidarity-based actions when the disadvantaged group partner engaged in inequality-delegitimizing contact by describing the intergroup inequality as illegitimate and when the advantaged group member reported a strong interpersonal connection with the disadvantaged contact partner.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".