Towards Equality in Age of Internationalisation of Higher Education: Revisiting Chinese International Students
Bibliographic record
Abstract
Chinese international students are historically vital to internationalization strategies in Canadian higher education, providing immediate and significant economic benefits to Canadians. At the same time, they face many challenges. Hence, it is imperative to understand Chinese international student experiences in Canada. Existing studies primarily adopted a cultural approach, with a focus on cultural shock and differences, and neglected social inequalities related to race, class, and gender. This study intends to go beyond the cultural approach to examine how race, gender, and class are intersected in producing social inequality among Chinese international students in Canada. Through the narratives from six students attending three different institutions in British Columbia, research findings reveal that the intersection of race, gender, and class shaped student lived experiences in learning and class engagement, making friends, entering the Canadian labour market, and accessing social resources. Thus, this research challenges the deficit model applied to international students and calls for an intersectionality approach to examine international students and their lived experiences in Canada by understanding 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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.021 | 0.014 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.004 |
| 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".