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Record W4388548273 · doi:10.1515/9781552385395

In the National Interest

2011· book· en· W4388548273 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Calgary Press eBooks · 2011
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

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: Canadian Foreign Policy and the Department of Foreign Affairs and International Trade, 1909-2009, 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. With Contributions By: Michael K. Carroll Adam Chapnick Greg Donaghy Robin S. Gendron J.L. Granatstein Michael Hart Norman Hillmer Peter Kikkert P. Whitney Lackenbauer Heather Metcalfe Nelson Michaud Tammy Nemeth Galen Roger Perras Stephen J. Randall Elizabeth Riddell-Dixon

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.803
Threshold uncertainty score0.455

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0080.004
Scholarly communication0.0160.007
Open science0.0020.005
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.1360.067

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 head0.072
GPT teacher head0.254
Teacher spread0.182 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2011
Admission routes1
Has abstractyes

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