Bicultural Identity Conflict in Second-Generation Asian Canadians
Bibliographic record
Abstract
Researchers have shown that bicultural individuals, including 2nd-generation immigrants, face a potential conflict between 2 cultural identities. The present authors extended this primarily qualitative research on the bicultural experience by adopting the social identity perspective (H. Tajfel & J. C. Turner, 1986). They developed and tested an empirically testable model of the role of cultural construals, in-group prototypicality, and identity in bicultural conflict in 2 studies with 2nd-generation Asian Canadians. In both studies, the authors expected and found that participants' construals of their 2 cultures as different predicted lower levels of simultaneous identification with both cultures. Furthermore, the authors found this relation was mediated by participants' feelings of prototypicality as members of both groups. Although the perception of cultural difference did not predict well-being as consistently and directly as the authors expected, levels of simultaneous identification did show these relations. The authors discuss results in the context of social identity theory (H. Tajfel & J. C. Turner) as a framework for understanding bicultural conflict.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".