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Record W2216361622 · doi:10.1080/11926422.2015.1070275

A fearful asymmetry: Diefenbaker, the Canadian military and trust during the Cuban missile crisis

2015· article· en· W2216361622 on OpenAlexafffundabout
Michael C. Urban

Bibliographic record

VenueCanadian Foreign Policy Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPrime ministerConceptualizationPolitical sciencePoliticsMissileState (computer science)Political economyDivergence (linguistics)LawSociologyEngineering

Abstract

fetched live from OpenAlex

/RésumésCanada's actions during the Cuban missile crisis open a revealing window onto the Canada—USA relationship and the sub-state influences therein. By refusing a US request to raise the alert status of Canadian forces, Prime Minister John Diefenbaker precipitated one of the worst crises in the modern Canada-USA relationship; by secretly defying this refusal, the Canadian military leadership ensured that Canadian forces provided greater military support to the US than any other ally did. In this article, I argue that a significant divergence in the extent to which the Canadian Prime Minister and military leadership trusted their US counterparts represents a critical part of any explanation of this bifurcated response. In so doing, I rely on a new conceptualization of trust and how it influences decision-making in international politics. By applying this model, I develop an explanation for Canada's contradictory behavior that is superior to existing explanations of Canadians’ decision-making during this crisis.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.950
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.296
Teacher spread0.270 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations5
Published2015
Admission routes3
Has abstractyes

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