The Role of Culture in Interpersonal Relationships
Bibliographic record
Abstract
Two studies examined the influence of Eastern cultural heritage on relationship preferences among second generation immigrants to the West, and explicitly tested the mediating roles of interdependence and familial cultural influence in mate preferences. The first used a between-subjects approach to compare the preferred mate attributes of South Asian Canadians (n= 97) to those of Euro-Canadians (n= 89). The second study used a within-subject approach by using the strength of cultural identity of South Asian Canadians (n= 92) as a predictor of preferred attributes. Both studies found a culture influence on “traditional” mate attribute preferences. Moreover, familial cultural influence (e.g., family allocentrism) was a better mediator of the culture-traditional attribute preference relationship than the more generic measure of interdependent self-construal. The results further suggest that a cross-cultural approach, rather than a strength-of-culturalidentity approach, is better suited to tap into non-conscious influences of culture on behavior.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".