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Record W6926404202 · doi:10.21953/lse.00004324

Understanding reneging: Canada's nuclear sharing commitments to NATO and NORAD during the Cold War

2021· article· en· W6926404202 on OpenAlexaboutno aff

Bibliographic record

VenueLondon School of Economics and Political Science Theses Online (London School of Economics and Political Science) · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsnot available
Fundersnot available
KeywordsAllianceLeverage (statistics)Foreign policyIncentiveDeterrence theoryNuclear weaponBargaining powerCold warPower sharingVulnerability (computing)

Abstract

fetched live from OpenAlex

How and why do leaders renege on their alliance commitments, despite institutional incentives to cooperate? According to the research on alliance reliability, three types of costs discourage reneging: material costs, reputational costs, and domestic audience costs. These costs are theorized to be especially high for leaders of democracies, junior alliance members, and members of highly institutionalized alliances. Yet, despite these characteristics, Canada's foreign policy related to its nuclear sharing commitments to NATO and NORAD between 1957 to 1984 was uneven. It included several instances of reneging or attempted reneging. Through an in-depth analysis of archival material related to Canada's nuclear alliance commitments, I propose a new theory of reneging. I show that a leader's decision to renege, choice of bargaining strategy in intra-alliance negotiations, and likelihood of success are related to the type of domestic coalition that supports reneging. Leaders with the support of nationalist domestic coalitions face fewer audience costs for reneging and have more leverage when bargaining with allies than those with the support of single-issue or anti-nuclear coalitions. Nationalist coalitions provide negotiators with three key sources of bargaining power in intra-alliance negotiations: a credible threat of withdrawal, a willingness to act unilaterally, and a low vulnerability to being swayed by foreign allies. On the other hand, single-issue coalitions do not wish to leave the alliance, are more willing to act through alliance consensus, and are more vulnerable to allies' attempts to in uence their stance.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.025
GPT teacher head0.256
Teacher spread0.230 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueLondon School of Economics and Political Science Theses Online (London School of Economics and Political Science)Same topicNuclear Structure and FunctionFrench-language works237,207