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Record W2127218600

STEEL AGAINST FIRE: THE BAYONET IN THE FIRST WORLD WAR

2006· article· en· W2127218600 on OpenAlexvenueno aff
Rob Engen

Bibliographic record

VenueJournal of military and strategic studies · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAdversaryBattleSymbol (formal)Charge (physics)LawInfantryWorld War IIOrder (exchange)Spanish Civil WarFirst world warHistoryAnachronismPolitical scienceAncient historyPoliticsPhilosophyComputer securityPhysicsComputer science
DOInot available

Abstract

fetched live from OpenAlex

The modern mind has demonized the bayonet as a weapon of war. Of all the popular images of the First World War, the most poignant is that of brave soldiers being sent “over the top” of their trenches with fixed bayonets for another futile charge on an enemy machine-gun emplacement. The bayonet has become, in some ways, a symbol for the frustration and futility of the war, as it seemed to be a weapon that should not have been there in the first place. Popular historians such as Pierre Berton have denounced it, claiming it to be, “as useful as a cutlass” on the modern industrialized battlefields of the Great War. What place could or should the direct descendant of the medieval pike have in the battle order of twentieth-century armies alongside weapons such as the machine gun? Why had this simple weapon not died out alongside the Napoleonic musket or the muzzle-loading cannon, yielding to the realities of technological progress? At first glance the survival of the bayonet as a weapon might seem like an anachronism to the historian, but here popular conceptions (or misconceptions) must be set aside. Whilst the bayonet charge may have become a symbol of the First World War, its use did not die in the trenches of northern France. Bayonet training was still a major part of infantry drill during the Second World War, and the United States armed forces continued to teach bayonet fighting up until at least the Vietnam War. Some

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score0.999

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 studies0.0020.000
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 head0.041
GPT teacher head0.230
Teacher spread0.189 · 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 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

Citations6
Published2006
Admission routes1
Has abstractyes

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