Principles and Partnership: Merchant, Heeney, and the Craft of Canada–US Relations
Bibliographic record
Abstract
Entitled “Canada and the United States: Principles for Partnership” and prepared at the behest of American President Lyndon Johnson and Canadian Prime Minister Lester Pearson, the so-called Merchant–Heeney report set out a series of guiding principles for the smooth conduct of bilateral relations. Drawing on their vast experience at managing this relationship, Arnold Heeney and Livingston Merchant, two former ambassadors, devised their guidebook by tracing the nature of Canada–US relations, examining areas where problems commonly arose, and offering suggestions towards building a more successful partnership. “Principles for Partnership” may have been their swansong but it was not Merchant and Heeney's sole statement on the Canadian–American relationship. Drawing on speeches, memoranda, and diplomatic cables, this article shows how Merchant and Heeney each conceived of the partnership between their two countries and how they viewed the influence of factors such as Canadian nationalism and the United States' preponderant power.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.032 | 0.032 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".