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 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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".