Chinese international graduate students at Canadian universities: language barriers, cultural identities and perceived problems of engagement
Bibliographic record
Abstract
This study investigates the socio-cultural experiences of Chinese international graduate students in a Canadian university. Specifically, this research explores the multiple challenges of their engagement in and out of the classroom as it relates to their language and culture. Qualitative data was collected by interviewing students and staff at the university. The findings show that Chinese international graduate students’ experiences as passive learners and reduced engagement were disadvantaged in Canadian university classrooms. This is because active engagement is preferred in the Western-dominant ideology of student engagement in Canadian graduate schools. Implications from this study suggest that faculty and staff should deconstruct the Western dominant ways of the understanding of student engagement by empowering inclusivity and diversity of multiple languages and cultural identities. The study also provides some practical suggestions for the Chinese international graduate student population to better engage in Canadian graduate institutions and for educators and practitioners to better support Chinese international students in Canadian post-secondary schools.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.025 | 0.008 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".