It’s Not As Easy as They Say: International Students’ Perspectives About Gaining Canadian Work Experience
Bibliographic record
Abstract
This study provides insights into international students’ perspectives of preparing for entry into employment in the Canadian workforce. From a human capital perspective, international students are valuable resources for the Canadian labour market and other countries where populations are in decline. However, most research on international students has focused on their initial transition experience, and available research on their employment experiences is often limited to the post-graduation transition. International students need to build their capacity for employment concurrently while they are studying, gaining local work experience. In this article we present an analysis of critical incidents collected from international students which highlights five key barriers in their experience of the Canadian work context, including policies and procedures, competition and economic conditions, challenges for navigating local cultural norms, language abilities, and their personal life circumstances. The discussion draws connections between international student recruitment and their longer-term goals for residency in Canada, with recommendations for bridging policies and services.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.043 | 0.016 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".