The social identity and psychology of mixed-race individuals: An international study
Bibliographic record
Abstract
Immigration drives population growth in most Western countries. The resulting cultural diversity is accompanied by a sharp rise in mixed-race unions and people with mixed-race heritage. Many studies have investigated ethnic and racial identity and to account for their impact on self-concept, cognition, emotions, and behaviors. Relative to their monoracial counterparts, mixed-race individuals face additional challenges when constructing and expressing their ethnic and racial identity, and these processes are further complicated by how others perceive and label them. Research into mixed-race social identity and the predictors and psychological outcomes of this identity, is still in its infancy. With data gathered from mixed-race individuals living in three countries (Canada, USA, UK), a second order factor structure for operationalizing multidimensional character of mixed-race identity (MRI) is tested. I then investigate how various aspects of MRI are informed by the minority-parent’s ethnic maintenance, and by independent and interdependent self-construals. I also examine how MRI affects collective self-esteem and life satisfaction , and how it associates with a series of pertinent beliefs and opinions. Theoretical and practical implications 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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".