Greedy for who? Interracial marriage and co-ethnic friendship groups
Bibliographic record
Abstract
How do race and marriage alter friendship networks? Past research and theory suggest that marriage changes friendship networks. We consider whether interracial relationships could alter the ethnic composition of friendships as friendship networks change. Using the Canadian Ethnic Diversity Survey, we examine the relationship between interracial marriage and co-ethnic friendship. We find that individuals in interracial marriages are less likely to report having co-ethnic friendship groups when compared with other marriages. Looking more closely at race, we find that the decrease is primarily driven by changes among racialised spouses. Racialised spouses in interracial marriages are considerably less likely to report co-ethnic friendships than racialised spouses in intraracial marriages. For White spouses, in contrast, there is little difference. Racialised spouses in interracial marriages are also less likely to report co-ethnic friendship groups than White spouses in interracial marriages. We consider these findings in the context of power imbalances in interracial marriages.
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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 | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".