Internationalization or International Marketing? Two Frameworks for Understanding International Students' Choice of Canadian Universities
Bibliographic record
Abstract
This paper discusses two important concepts—internationalization and the international marketing of higher education—and how they influence international students' choice of Canadian universities. The paper is based on two studies: one on 140 East Asian international graduate students who enrolled at two large Ontario universities in the academic year 2003–2004, and the other on 95 international undergraduate students who enrolled at an Ontario university in academic year 2005–2006. The research findings show that market segmentation determines the applicability of internationalization and/or marketing of higher education. Activities related to the internationalization of education play a critical role in influencing the research-oriented students' choice of a Canadian graduate school. Marketing activities have a direct impact on graduate students' choice in professional programs. “Twinning” or “incountry” programs—a blend of internationalization and international marketing approach—have a strong influence on undergraduate students' choice to come to 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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".