Exploring the Impact of War on International Community College Students from Ukraine: A Case Study from Toronto
Bibliographic record
Abstract
Since the full-scale war in Ukraine began in February 2022, many Ukrainians have migrated abroad. Canada, with its tradition of welcoming refugees and other displaced persons and its large Ukrainian community, has accepted thousands of Ukrainian migrants. After arriving in Canada, some decided to enroll in community colleges to improve their labor-market skills and to facilitate their transition to life in Canada. This empirical study draws on the psychological resilience theory and the social support theory to examine the challenges these students face, the coping mechanisms they use, and the support they receive from their colleges and Canadian society. The findings reveal that the participants experience stress, anxiety, helplessness, and isolation, owing to concerns about family members in Ukraine and difficulty adapting to a foreign environment. Financial worries also loom large because of their families’ loss of property and income, as well as their limited job opportunities in Canada.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".