Mixed Unions and Immigrant-Group Integration in North America and Western Europe
Bibliographic record
Abstract
We examine unions between individuals with non-Western immigrant origins and those from the native majorities in six North American and Western European countries: Canada, France, Germany, Great Britain, the Netherlands, and the United States. The analysis shows that certain deep social cleavages, involving African ancestry in the United States and Muslim religion in Western Europe, hinder the formation of mixed unions; in the European case, low rates of mixed unions are linked in some countries to high rates of transnational marriage. Overall, the rates of mixed unions appear to be higher in Canada, France, and the United States, suggesting a role for integration-related ideologies. In the case of the United States, we are able to trace the consequences of mixed unions, which appear likely to have the effect of changing, or expanding, the societal mainstream. Yet we conclude that mixed unions do not have a uniform significance for integration and that their effects are context-dependent.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".