Public discourse, the media, and international education in Canada
Bibliographic record
Abstract
The phenomenon of the internationalization of education has been prevalent in developed western countries, with varied and at times contested discourses about international education and students. We wonder how these discourses are constructed and contested in the media and further shape public opinions. Using the critical theories of language, power, and media, we analyzed 44 articles relevant to international education/students and their commentaries in the widely circulated Canadian newspapers. Our findings illustrate three dominant themes as the rhetoric of international education/students in Canada and how they are discursively constructed: (1) international education as a commodity; (2) international students as recipients of the generosity of Canada; and (3) international students as burden/harms to Canadian education/students as well as having moral deficits and being lawfully wrongdoers. This analysis highlights how international students are otherized, essentialized, and silenced as the voiceless despite their strong presence as the fastest growing migrant group in Canada with diverse identities and needs. We close with a discussion of the media analysis on international students as one such example of how dominance such as neoliberalism is taking up e-space like other public domains in social environments, which social workers deeply care about.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.021 |
| Science and technology studies | 0.031 | 0.021 |
| Scholarly communication | 0.020 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".