Local residents’ attitudes toward and contact with international students: a perspective from Montreal, Quebec
Bibliographic record
Abstract
As migrants holding temporary, foreign-resident status in their host communities, international students often experience prejudice and have little meaningful contact with locals. To date, a comprehensive account of international students' experience is lacking, and existing conceptualizations exclude linguistic threat as a potential source of increased prejudice and diminished contact. Therefore, our goal in this study (set in Quebec, Canada) was to explore local residents' attitudes toward and contact with international students in relation to five potential threats experienced by local residents, including cultural differences, competition over resources, intergroup anxiety, stereotypes, with linguistic threat added as a new, previously unexplored variable. We recruited 59 student and non-student local francophone residents as participants and examined their attitudes toward, perceptions of threat from, and the quality and quantity of contact with international students attending English-medium universities. Both student and non-student participants demonstrated positive attitudes toward and low levels of perceived threat from international students, except for linguistic threat. Compared to student participants, non-student participants reported significantly greater linguistic threat from international students and described contact with them that was both less frequent and lower in quality. Regression models accounted for 50-67% of variance in participants' attitudes, with symbolic threat to social values and belief systems emerging as the common significant predictor of attitudes for both groups. Adding linguistic threat did not improve regression models. Finally, only contact quality showed significant relationships with attitudes and perceived threat, where greater contact quality was associated with more favorable attitudes and reduced threat. We discuss implications of intergroup attitudes and contact for language planning and use in multilingual contexts.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".