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Record W2164712678 · doi:10.3917/gmcc.250.0007

La naissance de l'armée canadienne moderne : le corps canadien durant la Grande Guerre de 1914-1918

2013· article· fr· W2164712678 on OpenAlexaboutno aff
Ian McCulloch

Bibliographic record

VenueGuerres mondiales et conflits contemporains · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Au cours des vingt dernières années, de nombreuses études savantes ont traité du rôle joué par le Corps expéditionnaire canadien (CEC) durant la Première Guerre mondiale. À de rares exceptions près, leur attention a principalement porté sur deux éléments : le premier étant le haut commandement et les relations qu’il avait avec les politiciens et les généraux, le second étant la guerre dans les tranchées. En revanche, l’étude du commandement et du contrôle tactiques a souvent été laissée de côté, peut-être parce qu’elle ne présente pas la charge émotive associée aux deux précédents domaines. En tentant de réparer cette lacune, cette étude vise à démontrer que l’histoire du commandement permet de faire apparaître que les vrais catalyseurs qui ont favorisé l’efficacité tactique du Canada, et qui ont amené la fin des guerres de tranchées de la Grande Guerre, étaient les réorganisations novatrices. Ce faisant, cette étude fait apparaître que c’est dans ce processus évolutif qu’est née l’armée canadienne moderne et professionnelle.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.463
Threshold uncertainty score0.932

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.009
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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.

Opus teacher head0.025
GPT teacher head0.270
Teacher spread0.245 · 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
Published2013
Admission routes1
Has abstractyes

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