The Rush–Bagot Agreement: Canada–US Relations in Transition
Bibliographic record
Abstract
In 1817, Great Britain and the United States concluded the Rush–Bagot Agreement to prevent a naval arms race on the Great Lakes. Despite frequent transgressions to the agreement, by the 1920s, the agreement was heralded internationally as a model to emulate. The predominant scholarly focus on the agreement in the nineteenth century fails to explain why a broken agreement in one century was praiseworthy in the next. This article argues that the twentieth-century narrative of the agreement is of critical important to explaining the agreement’s impact on Canada–US relations. Through the lens of three stages of Canadian political leadership, this article demonstrates that the Rush-Bagot Agreement shifted from a rigid compact to a symbolic agreement that not only reflected but aided the transition toward one of the most unique security relationships. The article concludes that this extant agreement reinforces the prevalent notion of the “undefended border” in Canada–US relations.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.030 | 0.024 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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 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".