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Record W2512806798 · doi:10.1177/0020702016662798

Pierre Trudeau and the “suffocation” of the nuclear arms race

2016· article· en· W2512806798 on OpenAlexafffundabout
Paul Meyer

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsSimon Fraser University
FundersSimon Fraser UniversitySimons Foundation
KeywordsDisarmamentArms raceArms controlCold warDiplomacyPolitical scienceNuclear weaponPrime ministerPower (physics)Session (web analytics)LawPolitical economySociologyPoliticsBusiness

Abstract

fetched live from OpenAlex

Prime Minister Pierre Trudeau is known for his challenge to Canada’s NATO policy at the beginning of his tenure in power and his peace initiative at its end. Less well known is his support for innovative arms control policies designed to eliminate the technological impetus behind the nuclear arms race between the US and the USSR during the Cold War. At the first UN Special Session on Disarmament in May 1978, Trudeau delivered a speech outlining a “strategy of suffocation” that provided a novel package of four arms control measures that, taken as a whole, would represent an effective means of halting and eventually reversing the nuclear arms race. Although the superpowers were largely indifferent to them, these ideas helped spur the Department of External Affairs to invest in developing the institutional capacity to enable Canada to play a leadership role in future disarmament diplomacy.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.616
Threshold uncertainty score0.763

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.024
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.007
GPT teacher head0.293
Teacher spread0.286 · 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

Citations1
Published2016
Admission routes3
Has abstractyes

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