Exploring the Effects of the COVID-19 Pandemic on International Students and Universities in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
International students in Canada make enormous contribution to the Canadian economy. As domestic students’ enrolment has declined, international students’ admissions have compensated for economic losses that Canadian universities incur from the decline of domestic students’ enrolment. The COVID-19 pandemic is impacting international students’ admissions to Canadian universities. Drawing on various secondary data sources, this article argues that international students in Canada are vulnerable due to their temporary immigration status. They are excluded from most governments’ relief programs aimed at supporting Canadians during this pandemic. Most international students experience psychological and financial difficulties amid the pandemic. The situation is triggering a further decline in international students’ admission, creating economic implications for Canadian universities. By exploring the challenges facing international students and the strategies required to strengthen international students' resilience and universities’ capacities, the paper contributes to our understanding of the plights of international students and educational institutions amid the COVID-19 pandemic.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it