The development of Machine Gun doctrine during the First World War focusing on Machine Gun Commanders as Innovators.
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.019 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".