Examining the mental health impacts of the COVID-19 pandemic on international postsecondary students in Canada: A cross sectional analysis
Bibliographic record
Abstract
Globally, the mental health challenges of university and college students are a considerable public health challenge that has been further exacerbated by the COVID-19 pandemic. Across Canada, international postsecondary students have reported experiencing increase financial stress, lack of social support, racist aggression, and travel restrictions. This cross-sectional study aimed to assess the mental health impacts of COVID-19 on international postsecondary students in Canada. Data from 177 international students attending universities and colleges in Canada was collected over a 2-month period. Results suggest 36.2% of all students reported a high level of perceived stress, with moderate to severe anxiety and depression symptoms reported by 64.4% of the sample. Stress (p = 0.015) along with anxiety and depression (p = 0.019) were significantly higher in female study participants. Coping strategies related to engaging in activities of daily living were identified. Strategies to support international students' mental health and well-being during the pandemic and beyond have been put forward.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".