Attracting East Asian Students to Canadian Graduate Schools
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study seeks to identify factors influencing East Asian international students’ choices of Canadian graduate schools, to assess the strengths and dynamics of the factors influencing enrolment decisions, and to describe possible implications both for the Canadian government and for Canadian universities offering graduate education. The research sample comprised 140 students from China, Hong Kong, Japan, Korea, and Taiwan who enrolled in graduate programs at two large Ontario universities. The research findings reveal the significant influence of academic, economic, environmental, and visa/immigration pulling factors as well as a set of negative pushing factors from third countries such as the United States. Activities related to internationalization of graduate education play a critical role in influencing the choice of a Canadian graduate school. The findings suggest that to attract the “best and brightest” international graduate students, policy makers and institutional administrators should focus on investing in research and ensuring the quality of graduate education while devoting efforts and resources to the internationalization of Canadian graduate education.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it