Bibliographic record
Abstract
Canadian institutions of higher education have been called upon to continue to identify and address structural issues that prevent international students from achieving success. This chapter examines the lived experiences of three students from Hong Kong, Macau, and Taiwan through a narrative inquiry approach and draws attention to the exclusion the students experienced at their host university. This chapter foregrounds the experiences of students of an under-represented national profile within the imagined monolithic Chinese demographic, where students of a Chinese background are generally presumed to be from the mainland. In discussing the students’ experiences, exclusion is presented within three areas of concern – academic, social, and linguistic – and subsequently discussed from an inclusive internationalization perspective. Such a perspective emphasizes the role of social justice in promoting inclusivity and addressing complex forms of marginalization on campuses. This chapter focuses on the timely importance of inclusive internationalization, particularly for students from Asia, who presently constitute the majority of international students in Canada.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.029 | 0.026 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".