Acquisition of Cross-Ethnic Friends by Recent Immigrants in Canada: A Longitudinal Approach
Bibliographic record
Abstract
This paper examines the development of inter-ethnic friendships between immigrants and Canadians. It uses longitudinal data from three waves of the Canadian LSIC survey, in which newly arrived immigrants were followed during the first 4 years of settlement. It is found that pre-migration characteristics play an important role in the development of inter-ethnic friendships: immigrants who arrive at a younger age and for economic reasons, as well as those who are highly educated and have a cross-ethnic partner at the moment of arrival, establish more inter-ethnic friendships over time. In addition, post-migration characteristics affect the formation of inter-ethnic friendships. Such friendships are more common among immigrants who embrace Canadian traditions and acquire the host-country language, as well as among those who work in international settings and inhabit ethnically mixed neighborhoods. The effects of pre-migration characteristics are partially mediated by post-migration characteristics. Our findings point out that economic, cultural, and spatial integration are all conducive to inter-ethnic friendships.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".