U.S. or Canada? how Chinese International Undergraduate Students Make College Choices
Bibliographic record
Abstract
Despite extensive research on Chinese international students in North America, there is a lack of studies that compare students’ choices between the United States (U.S.) and Canada. In this study, we conducted in-depth, semi-structured interviews with 55 Chinese international undergraduate students in two case institutions in the U.S. and Canada. Drawing on the Push-Pull model and the Purchase Intention model, our study explains how the intense Chinese education system under Gaokao (National College Entrance Examinations) pushes students to pursue higher education abroad. The findings also reveal factors that attract Chinese students to foreign countries and institutions, such as the superior position of the U.S. ( 高大上 gaodashang ), the welcoming culture in Canada ( 包容 baorong ), and the institutional reputation ( 名气 mingqi ). Theoretical contributions and recommendations for scholarship and practice are provided in the article.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".