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Record W4387651754 · doi:10.1017/s0007087423000377

The Pugwash scientists’ conferences, Cyrus Eaton and the clash of internationalisms, 1954–1961

2023· article· en· W4387651754 on OpenAlexaboutno aff
Waqar Zaidi

Bibliographic record

VenueThe British Journal for the History of Science · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
FundersWellcome TrustUniversiteit MaastrichtLahore University of Management Sciences
KeywordsCONTESTVisionHumanismPolitical scienceSociologyLawMedia studiesAnthropology

Abstract

fetched live from OpenAlex

This paper examines the contest between Canadian American industrialist Cyrus Eaton and the Pugwash scientists' leadership for influence over the early Pugwash scientists' conferences. Eaton's activism has generally been dismissed in the historical literature as ineffective, naive and too uncritical of the Soviet Union. This paper argues that he was genuinely committed to international peace and security, that Eaton shared with Pugwash scientists a belief in the importance of intellectuals to global unity, and that he worked to bring about greater international peace and understanding through both his personal activism and his own conferences held in the town of Pugwash. Eaton, however, favoured a broader push for peace, which included participation by a wider range of intellectuals and a call for rapprochement with the Soviet Union. These differences between Eaton and the Pugwash scientists, I argue, were more than simply about approach: they represented different internationalist visions and manifested in different conceptualizations for the Pugwash scientists' conferences. Eaton hoped to incorporate non-scientists and humanism into the conferences, and integrate them into his own broader conference programme at his Thinkers' Lodge at Pugwash. The scientists, however, wanted to keep their conferences as distinctly scientists' events, tied to science and its authority.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0170.016
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.045
GPT teacher head0.242
Teacher spread0.197 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

Explore more

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