With a Little Help From My Friends: Social Approval and Relationship Quality in Intercultural Romantic Relationships
Bibliographic record
Abstract
Despite their growing prevalence, intercultural couples continue to experience social disapproval and discrimination from their social networks. In this study ( N = 757), we examined how social approval from different sources (i.e., family, friends, and society) predicts relationship quality and whether these effects vary by individual (i.e., cultural background and gender) and couple-level (i.e., cultural pairing and relationship length) characteristics. Friend approval emerged as the most robust predictor of relationship quality, especially for couples in which both partners belonged to minority cultures. In contrast, family approval was only important for Latinx and Middle Eastern partners, and those in the earlier stages in relationships. These findings suggest that different sources of social approval can buffer or exacerbate relationship quality, depending on partners’ cultural backgrounds and relationship length. By identifying which sources of approval matter most and for whom, these findings can inform culturally sensitive interventions and support systems for intercultural 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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".