Canadian International Relations, American social science? Evidence from academic journals and comprehensive reading lists
Bibliographic record
Abstract
The last two decades have witnessed growing attention to the “Canadianization” of the field of International Relations. In this article, we forward a novel approach to testing the influence of domestic factors in Canadian International Relations. By analyzing the reading lists of comprehensive examinations from Canadian doctoral programs in International Relations, we can understand the ways in which Canadian institutions’ reading lists construct the hierarchy of the field’s journals. Among these journals, those based in the United States are most frequently assigned, with others hosted in the UK and around Europe. Canadian journals are rarely assigned to reading lists. French-language journals are also rarely assigned to reading lists, even in francophone institutions, and when they are, the journals are much more likely to be hosted in France than in Canada. We offer a series of guiding questions for future consideration of the “Canadianization” of International Relations education in Canada.
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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 | 0.009 | 0.099 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.019 | 0.048 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 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".