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Holding Their Breath

2023· book· en· W4386971915 on OpenAlexaboutno aff
M. Girard Dorsey

Bibliographic record

VenueCornell University Press eBooks · 2023
Typebook
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsChemical warfareWorld War IIDiplomacyInterwar periodBattlefieldSovereigntyPolitical scienceTabooFirst world warLawEconomic historyHistoryAncient historyPolitics

Abstract

fetched live from OpenAlex

This book uncovers just how close Britain, the United States, and Canada came to crossing the red line that restrained chemical weapon use during World War II. Unlike in World War I, belligerents did not release poison gas regularly during the Second World War. Yet, the looming threat of chemical warfare significantly affected the actions and attitudes of these three nations as they prepared their populations for war, mediated their diplomatic and military alliances, and attempted to defend their national identities and sovereignty. The story of chemical weapons and World War II begins in the interwar period as politicians and citizens alike advocated to ban, to resist, and eventually to prepare for gas use in the next war. The book reveals that although poison gas was rarely released on the battlefield in World War II, experts as well as lay people dedicated significant time and energy to the weapon's potential use; they did not view chemical warfare as obsolete or taboo. Poison gas was an influential weapon in World War II, even if not deployed in a traditional way, and arms control, for various reasons, worked. Thus, what did not happen is just as important as what did. The book provides insight into these potentialities by untangling World War II diplomacy and chemical weapons use in a new way.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.530
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.070
GPT teacher head0.177
Teacher spread0.107 · 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 teacher head, not a consensus.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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