International students in Canada: policies and practices for social inclusion
Bibliographic record
Abstract
Despite federal policy changes facilitating the recruitment and retention of international students in Canada, programming at Canadian universities is uneven and has created conditions for the population’s social exclusion. Canadian immigration policy has positioned international students as a desirable cohort of prospective immigrants, due to their age, economic potential, education, and official language skills. Canada’s 2014 International Education Strategy aims to double the number of international students, retaining them as economic migrants, and later permanent residents. However, temporary legal status and limited access to federally funded settlement services positions post- secondary institutions as the population’s primary settlement service provider, compounding the barriers to successful societal integration. As such, international graduates face barriers that mirror those of traditional immigrants. Critically exploring Canadian policy and post-secondary programming relating to international students, this paper applies the social inclusion perspective to recommend policy modifications and service approaches to ensure greater inclusion of international students.
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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 | 0.015 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.043 | 0.015 |
| Scholarly communication | 0.019 | 0.004 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".