International student motivations and experiences of studying in small to mid-sized universities in remote Canada
Bibliographic record
Abstract
Canada is undergoing significant changes in its immigration policies to reduce the number of study permits and educational pathways for immigration; thus, understanding the realities of small- to mid-sized universities in remote regions potentially affected by this shift is imperative. However, international student motivations and experiences in these contexts remain underexplored in the literature. This scoping review investigates 21 English-language studies conducted in Canadian universities with student enrollment under 20,000, which examine international students’ push‒pull dynamics, lived experiences, and postgraduate retention. Key pull factors include postgraduate immigration pathways, English and cultural immersion, perceptions of safety and affordability, and inclusive school admission; meanwhile, academic pressure, parental expectations, and career-related concerns are major push factors. For lived experiences, recurring themes emerged, encompassing areas such as cultural adjustment, social attachment, language learning, institutional support, and systemic challenges—all of which shape decisions to remain or relocate after graduation.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".