Towards a More Just Canadian Education-migration System: International Student Mobility in Crisis
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
Education-migration, or the multi-step recruitment and retention of international students as immigrants, is an increasingly important component of both higher education and so-called highly-skilled migration. This is particularly true in Canada, a country portrayed as a model for highly-skilled migration and supportive of international student mobility. However, education-migration remains under-analyzed from a social justice perspective. Using a mobility justice framework, this paper considers COVID-19’s impact on Canada’s education-migration system at four scales: individuals, education institutions, state immigration regimes, and planetary geoecologies. It identifies ethical tensions inherent to Canada’s education-migration from a systems-level and suggests that a multi-scalar approach to social justice can both usefully complexify discussions and introduce unsettling paradoxes. It also stresses that the COVID-19 pandemic offers an opportunity to reimagine rather than return.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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