Bibliographic record
Abstract
Canada's role as world power and its sense of itself in the global landscape has been largely shaped and defined over the past 100 years by the changing policies and personalities in the Department of Foreign Affairs and International Trade (DFAIT). This engaging and provocative book brings together fifteen of the country's leading historians and political scientists to discuss a century of Canada's national interests and DFAIT's role in defining and pursuing them. Accomplished and influential analysts such as Jack Granatstein, Norman Hillmer, and Nelson Michaud, are joined by rising stars like Whitney Lackenbauer, Adam Chapnick, and Tammy Nemeth in commenting on the history and future implications of Canada's foreign policy. In the National Interest gives fresh insight into the Canada First concept in the 1920s, the North American security issues in the 1930s, Canada's vision for the United Nations, early security warnings in the Arctic, the rise of the international francophone community, conflicting continental visions over energy, and Canada/U.S. policy discussions. The impact of politicians and senior bureaucrats such as O.D. Skelton, Lester B. Pearson, Marcel Cadieux, Jules Leger, Pierre Trudeau and Brian Mulroney are set against issues such as national defence, popular opinion, human rights, and energy production. In the National Interest also provides a platform for discussion about Canada's future role on the international stage. With its unique combination of administrative and policy history, In the National Interest is in a field of its own.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.947 | 0.940 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".