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Record W7094812808

9781552385616.pdf

2022· other· en· W7094812808 on OpenAlexaboutno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2022
Typeother
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVisionForeign policyNational interestPoliticsNational securityPower (physics)International relationsFrench
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.926
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9810.904

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.

Opus teacher head0.023
GPT teacher head0.292
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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