Bibliographic record
Abstract
The study of Canada–United States relations has a long, rich history as an interdisciplinary project, closely engaged with contemporary policy debates, and well integrated in the teaching curricula at Canadian universities. As the two societies become ever more tightly enmeshed—economically, demographically, culturally, and even politically—and the two states’ diplomatic relationship becomes ever more complex, the study of that relationship can and should become more reflective, purposive, and coherent. Having reviewed recent historiographical developments, in which the field’s three core debates have been taken in important new directions, we are hopeful about the prospects for renewal and reinvention. The challenge for students of Canada–US relations today, we maintain, is therefore to continue to unearth insights from the original great debates but also to challenge and revise the broader debates themselves to develop a more robust understanding of the relationship past, present, and future.
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 | 0.025 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.064 | 0.096 |
| Scholarly communication | 0.033 | 0.012 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.012 | 0.019 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".