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Record W4225927946 · doi:10.22215/etd/2022-14872

"For Good or Evil": The Early Atomic Age in Maclean's, Saturday Night, Life and The Saturday Evening Post, 1945-1950

2022· dissertation· en· W4225927946 on OpenAlexaboutno aff
Christian McGregor

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicLiterature, Film, and Journalism Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAtomic energyEveningNuclear weaponSecrecyCold warFaithOptimismSkepticismHistoryPolitical scienceLawPsychologyPhysicsSociologyPhilosophyTheologySocial scienceSocial psychology

Abstract

fetched live from OpenAlex

This thesis explores coverage of the atomic bomb and atomic energy in the Canadian magazines, Maclean's and Saturday Night, and the American magazines, Life and The Saturday Evening Post, between 1945 and 1950.Commentaries in 1945 presented a straightforward dichotomy: either the bomb would remain in the hands of individual states, and atomic war would inevitably result, or atomic power would be brought under international control and improve society.Once the onset of the Cold War had blunted the momentum for international control, the magazines urged the United States to maintain its technological lead over the Soviet Union, while continuing to oppose excessive atomic secrecy.By 1950, faith in the positive impact of atomic energy was tempered by more measured accounts of its potential, though optimism remained about the medical uses of radioactive isotopes.The thesis finds a broad similarity in the four magazines' views of the early atomic age.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.985
Threshold uncertainty score0.377

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0150.011
Scholarly communication0.0090.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.014
GPT teacher head0.240
Teacher spread0.226 · 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.

Study designQualitative
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 routes1
Has abstractyes

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