Dancing Around the Elephant: Creating a Prosperous Canada in an Era of American Dominance, 1957–1973
Bibliographic record
Abstract
Dancing Around the Elephant: Creating a Prosperous Canada in an Era of American Dominance, 1957–1973, Bruce Muirhead, Toronto: University of Toronto Press, pp. 323. Canadian feelings of anti-Americanism have a long history. Some have suggested that Canada was born more out of a sense of wanting to protect itself from American invaders than with a sense of what it was. The view that Canada is the lesser state is seen in Pierre Trudeau's comment to the Washington Press Gallery in 1969: “Living next to you, is like sleeping with an elephant; no matter how friendly and even-tempered is the beast, one is affected by every twitch and grunt.” The elephant-mouse metaphor has been one of the best ones to describe the relationship between the two nations and is often used by left-leaning Canadian nationalists to illustrate how much weaker Canada is in the partnership.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.040 | 0.021 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".