Divided Together: How Marginalization of Intercultural Relationships Is Associated With Identity Integration and Relationship Quality
Bibliographic record
Abstract
Despite the growing prevalence of intercultural romantic relationships—in which partners identify with different racial, national, or religious backgrounds—people in intercultural relationships still face marginalization and disapproval from others. Relationship marginalization sends a message to couples that they do not belong together, and partners may feel that their cultural identity and their relationship are disconnected. Two studies—one study of people in intercultural relationships and one of both members of intercultural couples—showed that when people perceived greater relationship marginalization, they were more likely to separate their couple identity from their cultural identity or believe they had to choose between these identities and they were less likely to integrate these identities. Less integration and more separation between a person’s couple and cultural identities was associated with lower relationship quality for both partners. The findings suggest that marginalization can create challenges for the maintenance and quality of intercultural relationships.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".