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Record W2911082863

Notes on Canadian Units and Formations Engaged: Battles of the Somme, March-April 1918

2018· article· en· W2911082863 on OpenAlexaboutno aff
Archer Fortescue Duguid

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryPolitical scienceOperations researchEngineering
DOInot available

Abstract

fetched live from OpenAlex

Although the Canadian Corps did not participate directly in the German Spring Offensives that began on 21 March 1918, detached Canadian cavalry, artillery, and motor machine gun units serving with British divisions played important roles at various points in the battles. In one of the better known instances, Canadian cavalry were instrumental in delaying a German drive on 30 March south of Amiens at Moreuil Wood where, in one of the most dramatic cavalry actions of the war, Lieutenant Gordon Flowerdew led a mounted charge with sabres drawn. For that action, he was awarded a posthumous Victoria Cross.\nLe Corps canadien n’a pas participé directement aux batailles durant l’offensive du printemps des Allemands qui a commencé le 21 mars 1918, mais des unités de cavalerie, d’artillerie et de mitrailleuses du pays ayant servi au sein de divisions britanniques ont joué un rôle important à différents moments. Dans l’un de ces épisodes les mieux connus, la cavalerie canadienne a joué un rôle déterminant en retardant l’avance des Allemands, le 30 mars, au sud d’Amiens, au bois de Moreuil. Dans une des charges de cavalerie les plus mémorables de la Première Guerre mondiale, le lieutenant Gordon Flowerdew a dirigé ses hommes, armés d’épées déployées. Pour cet exploit, la Croix de Victoria lui a été attribuée à titre posthume.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.070
Threshold uncertainty score0.510

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0420.002
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0300.004

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 head0.030
GPT teacher head0.236
Teacher spread0.205 · 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
Published2018
Admission routes1
Has abstractyes

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Same venueScholars Commons (Wilfrid Laurier University)Same topicVietnamese History and Culture StudiesFrench-language works237,207