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Record W6999671877

The Development of Machine Gun Doctrine during the First World War focussing on Machine Gun Commanders as Innovators

2017· dissertation· en· W6999671877 on OpenAlexaboutno aff

Bibliographic record

VenueMURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsDoctrineOfficerWorld War IISpanish Civil WarFirst world warPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

The development of machine gun doctrine from 1898 to the end of the First World War is an example of military innovation in action. This thesis explores that development focussing on the men who created it as innovators. There are several different theories of military innovation put forward by Rosen, Posen, Murray, Foley and Farrell, and this thesis will examine them with regard to the development of machine gun doctrine. There were four major innovators. An American, John Henry Parker honed his skills in the Spanish American War of 1898 and used this experience to develop machine gun doctrine for the US Army. He can be identified as the ‘father of machine gun doctrine’ as his ideas were adopted by Allied armies during the First World War. Parker’s work was taken up by the British officer R.V.K. Applin in 1910. Applin was active in the period before the war in trying to influence senior figures in the power of machine guns. He spent much of the war in India and America as a machine gun trainer. George M. Lindsay was the most influential British machine gun officer of the war. He was responsible for the establishment of the Machine Gun Corps in 1915 and through his work in the machine gun schools in Grantham and Camiers developed most of the machine gun doctrine for the British Army. The Frenchman, Raymond Brutinel, who fought for the Canadian Expeditionary Force, was the most influential machine gun officer in the Allied armies during the war. He was remarkable in that he had no major military experience at the outbreak of war. Yet he equipped and raised a motorised machine gun unit with his own money and turned it into the first mechanized ‘all arms unit’ which during the 100 Days Offensive made a significant contribution to overall victory. He was also responsible for developing the idea of barrage fire which played no small part in the victory of the C.E.F. at Vimy Ridge. This tactic was then disseminated to the rest of the British army and used effectively in the Battle of Messines by R.V.K. Applin. He was appointed a Brigadier General in 1918 and became the highest ranked machine gun officer of the Allied armies. This thesis highlights the complexities of innovation in a military setting that can occur at different levels across formations and institutions, and will act as a guide to future study in this area.

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)0.001
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: none
Teacher disagreement score0.637
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0110.002
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.283
Teacher spread0.261 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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