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Record W4401160076 · doi:10.1080/17561310.2024.2343529

Atomic Art Around a Hot Bikini Cloud, 1946

2024· article· en· W4401160076 on OpenAlexaff
Serge Guilbaut

Bibliographic record

VenueArt In Translation · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Technology, and Culture
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsArtArt historyCloud computingComputer science

Abstract

fetched live from OpenAlex

The nuclear tests conducted by the U.S. on Bikini Atoll in the summer of 1946 marked the advent of the Atomic Age. The fascination with the Bomb and the fears of its destructive potential were processed and often trivialized in American visual culture and entertainment. The anxieties over nuclear power alongside the breakdown of East-West relations in 1946 also impacted on art. This article explores some of the consequences of the events of 1946 for art exhibitions, critics, and artists, such as Newman and Pollock. Their work responded both to the new nuclear reality and the desire to forge a modern American art and identity, distinct from European, especially French models. Their assertive approaches contrast with the strategies by Wols and Bram Van Velde in Paris, who insisted on the derisory importance of their project in light of atomic power and the 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)0.001
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.024
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.008
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0150.002

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 head0.033
GPT teacher head0.247
Teacher spread0.214 · 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
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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