International Students as ‘Ideal Immigrants’ in Canada: A disconnect between policy makers’ assumptions and the lived experiences of international students
Bibliographic record
Abstract
Recent policy changes in Canada highlight the strategic role International Students (IS) in the country’s economic development and future prosperity. With the release of Canada’s first international education strategy, the federal government has intimately tied international education to the domestic economy by attracting and retaining skilled workers to prepare Canada for the global market place. IS are particularly desirable candidates for permanent residency because their Canadian credentials, proficiency in at least one official language, and their relevant Canadian work experience is assumed to allow them to integrate more easily into the labour force upon graduation. Through 11 focus groups with 48 IS from two post-secondary institutions in the province of Ontario, we explored the adjustment of IS as they adapt to Canada and transition from student to worker. Thematic analysis suggests a disconnect between policy makers’ assumptions and the lived experiences of IS in Canada. Specifically, we find that IS’ integration into Canadian society into the domestic labour market is hindered by adjustment difficulties pertaining to language abilities, poor connectedness to host communities, and perceived employer discrimination against IS. We offer policy recommendations for how international education can better prepare IS for the Canadian labour market.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.046 | 0.030 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.002 | 0.006 |
| 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".