International Students' Views of Transition to Employment and Immigration
Bibliographic record
Abstract
This study explored international students’ views and experiences of transitioning from school to employment with the goal of permanent immigration. A semi-structured interview with critical incidents was used to assess the career transition experiences of 14 graduate international students from university to employment and permanent immigration to Canada. Data were analyzed using a constant comparison method and critical incident protocol. Despite the fact that most students had not obtained a job after completing their educational programs, the majority felt as though the decision to remain in Canada to work and eventually immigrate was a good one. Students’ expectations about better job prospects were unmet while their expectations about an enhanced quality of life in Canada were met. Students recommended that Canadian employers be more open-minded about hiring people with international experience and see the benefits of a diverse workforce. The international students hoped that those employed in career services will help future students to build networks and meet prospective employers. Students advised future international students to educate themselves about Canadian culture, how Canadians interact, and the Canadian work environment. Implications for career services and career counselling are discussed.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".