On international students in Canada : a review of their experiences in the academic literature and the Canadian media
Bibliographic record
Abstract
International students are considered active, rather than passive members of the Canadian society for a wide range of factors. First, it is important to note that the arrival of these individuals equip the country’s post-secondary education sector with an unprecedented amount of revenues in the form of tuition fees. Second, international students’ labour work and personal spending contribute towards Canada’s economic growth. Third, the presence of international students in Canada enriches the country’s socio-cultural climate. Unfortunately, international students encounter several challenges during their stay in Canada and struggle to have access to a set of comprehensive settlement services to enable them to smoothly adapt into their new environment. The following study is essentially a literature review that aims to fulfill two objectives. First, there will be an examination of the experiences and struggles of these students as they have so far been reported in the academic literature and the Canadian media. Second, some of the most prevalent knowledge gaps about international students that exist in the academic literature and the Canadian media will be identified and critically analyzed. Key Words: International Students, Language Barriers, Discrimination, Micro-Aggression, Socio-Cultural Challenges, Settlement Services, Knowledge Gaps.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.025 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".