Internationalisation of higher education: integrating international students into Canadian academic environment
Bibliographic record
Abstract
Fuelled by globalisation, the internationalisation of higher education in Canada is happening at a rapid pace. One manifestation of internationalisation is the increasing enrolment of international graduate students in Canadian institutions. Many of these students face challenges and barriers in integrating into Canadian academic environments including isolation, alienation, marginalisation and low self-esteem. This case study investigates a programme at a large Canadian university intended to help international graduate students with their adaptation to an unfamiliar academic environment. The research shows that the programme was successful in creating a transnational learning space where international students developed a sense of belonging, increased cross-cultural understanding and raised awareness about global issues. More importantly, it helped international students with their integration into a Canadian learning community. The findings have important implications for the development of programmes to provide appropriate levels of support for international students and for building internationally inclusive campuses.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.006 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".