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Record W2470738635

The Myth of the Learning Curve: Tactics and Training in the 12th Canadian Infantry Brigade, 1916-1918

2005· article· en· W2470738635 on OpenAlexaffabout
Mark Osborne Humphries

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsInfantryTraining (meteorology)Learning curveAeronauticsArtificial intelligenceComputer sciencePsychologyEngineeringPolitical scienceGeographyMeteorologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Canadian military historians generally accept that during the First World War the Canadian military improved over time. This idea of a “learning curve” suggests that Canadians began the war as inexperienced colonial volunteers and, as the Corps gained experience on the battlefield, commanders and ordinary soldiers alike learned from their mistakes and successes and improved combat tactics from battle to battle and from year to year.1 Several different approaches to this argument are evident in the literature. Tim Cook and Bill Rawling both published works in the mid-1990s that argue technology was the impetus behind this process of learning. On the other hand, Shane Schreiber, James McWilliams and R. James Steel have focused on what they see as the ultimate success of the learning curve: the August 1918 Battle of Amiens.2 However, while technology played an important role in the conduct of the war, and the Battle of Amiens was indeed a significant Allied victory, one question remains: where is the hard evidence that this learning curve exists?\nOne of the best ways to find evidence of “learning,” a largely abstract process, is through an examination of training. Because training is meant to impart specific knowledge, during the Great War written training instructions and orders were spelled out in minute and explicit detail and the lessons that were to be learned from various exercises were highlighted.\nWhile many excellent works have been produced on the Canadian Expeditionary Force, there is still room for further scholarship. Until recently, training has been a sorely neglected subject in the historiography. In recent years historians such as such as Andrew Iarocci and David Campbell have begun to re-examine training as a means of measuring and evaluating the learning curve.3 This paper builds on the work of previous scholars and extends some of their arguments while challenging others. It examines the training of the 12th Canadian Infantry Brigade for the battles of the Somme and Amiens, as well as the official training manuals, to look at tactical change over time. It argues that while combat became more complex and “all arms” oriented, the basic tactical concepts of 1916 essentially remained the same in 1918. Except for terminology and the addition of new weapons, little changed in how the 12th Canadian Infantry Brigade was taught to fight between the Somme and Amiens. Indeed, while new weapons were utilized and emphasized in training, they were merely integrated into existing tactical doctrine and had little appreciable impact on what was envisioned as the key to battlefield success.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.239
Teacher spread0.224 · 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
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
Published2005
Admission routes2
Has abstractyes

Explore more

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