Rethinking Canada: Canadian Studies and Study Abroad
Bibliographic record
Abstract
Americans have been studying “abroad” in Canada on a freelance basis for generations, and for many different reasons. Certain regions of Canada, for example, provide excellent, close-to-home opportunities to study French and/or to study in a French-speaking environment. Opportunities are available coast-to-coast for “foreign studies” in an English-speaking environment. Additionally, many students are interested in visiting cities or areas from which immediate family members or relatives emigrated to the United States. Traditionally, many more Canadians have sought higher education degrees in the United States than the reverse. However, this is about to change. Tearing a creative page out of the American university admissions handbook, Canadian universities are aggressively recruiting in the United States with the up-front argument that a Canadian education is less expensive, and a more subtle argument that it is perhaps better.
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.
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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.059 | 0.033 |
| Scholarly communication | 0.026 | 0.012 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".