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Record W7132868917

Learning to Live with the Atom: US Public Opinion and International Control of Atomic Energy, 1945-1950

2022· dissertation· W7132868917 on OpenAlexafffund
Katie Davis

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldArts and Humanities
TopicTwentieth Century Scientific Developments
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsAtomic energyNuclear weaponDiplomacyPublic opinionPublic diplomacyCold warWorld War IICommission
DOInot available

Abstract

fetched live from OpenAlex

The advent of the atomic age at the end of the Second World War raised debates over how to protect the world from the dangers of the atomic bomb while promoting the peaceful uses of atomic energy. This could be achieved, scientists argued, only through the international control of atomic energy, which would secure nuclear technology and material under an international body. The devastation caused by a future nuclear war meant the problem affected everyone, everywhere, but as guardians of this unprecedented new weapon, Americans bore special responsibility for its future. Learning to Live with the Atom: US Public Opinion and International Control of Atomic Energy, 1945-1950 examines the two-way relationship between the American public and policymakers during the first years of the atomic age. By examining American diplomacy on the United Nations Atomic Energy Commission alongside domestic public relations initiatives to engage the American people on nuclear issues, it tells a comprehensive story about how Americans tried to make sense of the fundamentally new world in which they lived and slowly came to terms with the emerging Cold War.

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)0.004
metaresearch head score (Gemma)0.008
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: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.007
Scholarly communication0.0050.005
Open science0.0000.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.018
GPT teacher head0.270
Teacher spread0.252 · 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
Published2022
Admission routes2
Has abstractyes

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