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Record W2767980299 · doi:10.1017/s0018246x17000292

SKYHAWK, SKYSHIELD, AND THE SOVIETS: REVISITING CANADA'S COLD WAR

2017· article· en· W2767980299 on OpenAlexaffabout
Asa McKercher, Timothy Andrews Sayle

Bibliographic record

VenueThe Historical Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of TorontoRoyal Military College of Canada
Fundersnot available
KeywordsCold warSummitPolitical scienceForeign policyHistoriographyInternational relationsContext (archaeology)CommunismForeign relationsPolitical economyEconomic historyHistoryLawSociologyPoliticsGeographyCartography

Abstract

fetched live from OpenAlex

Abstract For the past two decades, Canadian international historians have largely missed the Cold War, or at least a significant portion of it. Certainly, there has been no shortage of studies of Canadian foreign policy featuring the bipolar struggle, and yet historians have largely confined their attention to Canada's admittedly crucial relationship with the United States, while Canadian–Soviet relations have been ignored. Indeed, in the historiography of Canada's Cold War international relations, the communist powers are largely missing. Hoping to challenge this limited focus, we frame our article around two Canada–US air defence exercises held in 1959 and 1960. While historians have viewed these exercises within the context of Canada's relationship with the United States, we highlight the wider Cold War framework in which Canadian policy was formed. After all, these exercises occurred during the mini-détente of the late 1950s and the collapse of the Paris summit in May 1960. As we demonstrate, the failure to take full account of the Cold War is a shortcoming of much of the writing on Canadian international relations, and so we offer an example of the need to take seriously Canada's foreign policy toward the communist bloc.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.187
Threshold uncertainty score0.943

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0380.018
Scholarly communication0.0100.002
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.013
GPT teacher head0.225
Teacher spread0.212 · 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
GenreEmpirical

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
Published2017
Admission routes2
Has abstractyes

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Same venueThe Historical JournalSame topicCanadian Identity and HistoryFrench-language works237,207