Same-Race and Interracial Asian-White Couples: Relational and Social Contexts and Relationship Outcomes
Bibliographic record
Abstract
Research suggests that interracial couples have lower relationship stability compared to their same-race counterparts, but there is evidence that interracial relationships involving Whites and Asians are an exception. This study compared the pathways to relationship stability among same-race and interracial Asian-White couples. Using MANCOVA, partner empathy, social approval, relationship satisfaction, and relationship stability for same-race and interracial Asian-White couples were compared, while holding length of relationship constant. A Structural Equation Model tested differences between groups in the effect that partner’s empathic listening and social approval had on relationship satisfaction and stability. Results indicated that interracial couples had similar relationship satisfaction and stability, as well as partner empathy, and social approval, as same-race White couples. Same-race Asian couples consistently scored lowest in relational and social factors, as well as relationship outcomes. With few exceptions, the influence of empathy in communication and social approval on relationship outcomes was similar for interracial and same-race couples.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".