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Record W2057387016 · doi:10.1177/1468795x11398116

Raymond Aron and nuclear war

2011· article· en· W2057387016 on OpenAlexaff
B. Lee Cooper

Bibliographic record

VenueJournal of Classical Sociology · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsNuclear weaponPoliticsPolitical scienceNuclear strategyEpistemologyPolitical economyEconomic historySociologyLawPhilosophyHistory

Abstract

fetched live from OpenAlex

Raymond Aron began his studies of postwar politics by taking into consideration the impact of the atomic bombing of Japan by the United States. As was true of many strategic thinkers after 1945, he was concerned that the new technology would alter the significance of warfare and thus of politics — because, as a student of Clausewitz, Aron was of the view that war and politics were intimately connected. This paper explores the evolution of Aron’s thinking from 1945 until the 1980s and the development and changes in nuclear strategy. Alone in France, and almost alone in Europe, Aron kept abreast of changes in American nuclear strategy and made some insightful, if commonsensical, analyses of the then secret strategic thinking of the Soviets as well as of the European NATO allies of the United States.

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)0.002
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: none
Teacher disagreement score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.045
GPT teacher head0.305
Teacher spread0.260 · 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
Published2011
Admission routes1
Has abstractyes

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