IMAGINE: Canada as a leader in international education. How can Canada benefit from the Australian experience?
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
Hosting international students has long been admired as one of the hallmarks of internationalization. The two major formative strands of internationalization in Canadian universities are development cooperation and international students. With reduced public funding for higher education, institutions are aggressively recruiting international students to generate additional revenue. Canada is equally interested in offering incentives for international students to stay in the country as immigrants after completing their studies. In its 2011 budget, the Canadian federal government earmarked funding for an international education strategy and, in 2010, funded Edu-Canada—the marketing unit within the Department of Education and Foreign Affairs (DFAIT)—to develop an official Canadian brand to boost educational marketing, IMAGINE: Education in/au Canada. This model emulates the Australian one, which rapidly capitalized on the recruitment of international students and became an international success story. Given current Canadian higher education policy trends, this paper will address the cautionary lessons that can be drawn from the Australian case.
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 | 0.000 | 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) | 0.005 | 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