International Students’ Motivations and Decisions to do a PhD in Canada: Proposing a Three-Layer Push-Pull Framework
Bibliographic record
Abstract
The study aims to explore which factors influence international students’ decision to pursue doctoral studies in Canada. Drawing on the push-pull model and the mechanism of educational decision making, this study uses semi-structured interviews to gather data and explores themes such as political and economic forces, institutional factors, social background and experience, and individual motivation in students’ decision making. Our study identifies multiple factors at the individual, institutional, and country levels that influence students’ decision making, including students’ past experiences, funding, faculty members, and immigration policies. Moreover, it finds that the factors vary by students’ regions of origin and disciplines of study. Our findings, focused on international doctoral students in Canada, add to the ongoing conversation about student mobility and add nuances on international students’ decision-making process in times of shifting landscape of higher education internationalization.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".