Navigating the Canadian Immigration Process: A Study of International Students' Experience and Interactions with the Student Services Provided by Their Host Universities
Bibliographic record
Abstract
Canada views international students as potential skilled immigrants. The country has implemented multiple immigration streams to retain these students post-graduation in order to remain competitive in the global knowledge economy. However, research investigating these students' experiences holistically was lacking. This study addressed this gap in literature by looking at: (1) how international students decided on Canada as a study-abroad destination, (2) how they ultimately decided on seeking Canadian permanent residence, and (3) which on-campus services and resources they sought and/or utilized to help navigate the immigration process, and what their experiences with these services were. Six former international students who graduated from Canadian universities, and had since applied for or obtained Canadian permanent residence, were interviewed in this narrative inquiry. Bronfenbrenner's developmental ecology theory was used to situate interviewees' experiences in the broader contexts, and Schlossberg's transition theory was used as a framework to holistically study their experiences with transitions.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.047 | 0.013 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.007 |
| 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".