When experiencing discrimination predicts greater outgroup affiliation: The role of intergroup mobility in moderating rejection-(Dis)identification patterns
Bibliographic record
Abstract
Research has documented how groups cope with perceived discrimination by enhancing their identification with their minority ingroup and reducing their identification with the majority outgroup. However, these patterns have not been consistent across contexts nor examined in relation to discrimination encountered online. Through a survey of PRC Chinese immigrants in Singapore, we examine how online perceived discrimination relates to attitudes toward the Singaporean host society via both ingroup and outgroup identification. We also test the role of intergroup mobility, the perceived level of opportunity ingroup members have to form relationships with dominant outgroup members, as a moderator of these relations. Results show that PRC Chinese immigrants who perceived more discrimination online identified more strongly with both their PRC Chinese ingroup and the Singaporean host society outgroup. In turn, greater PRC Chinese and Singaporean identification related to more positive attitudes toward Singaporeans. Moreover, intergroup mobility moderated these associations, such that the PRC Chinese who perceived greater mobility were more likely to strengthen their identification with Singaporeans as their online perceived discrimination increased. We argue that intergroup mobility beliefs may play a key role in shaping defensive responses to perceived discrimination.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".