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Record W2465530095 · doi:10.7202/1035601ar

L’humour des Poilus canadiens durant la Grande Guerre (première partie)

2016· article· fr· W2465530095 on OpenAlexvenueaboutno aff
Bernard Andrès

Bibliographic record

VenueLes Cahiers des dix · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Malgré la crise de la conscription de 1917 et les tensions entre anglophones et francophones, au sujet de l’engagement du Canada dans la Grande Guerre, plus de 30 000 Canadiens français partent pour le front. Ils s’illustreront notamment aux batailles d’Ypres, de Courcelette et de Vimy. Chez ces francophones dont la plupart se battent sous le drapeau britannique, on note une certaine ambivalence face « la » patrie (le Canada ? l’Angleterre ? la France ?). Défiance également envers la hiérarchie militaire et les autorités coloniales britanniques. De rares témoignages de première main publiés en français entre 1914 et 1920 permettent d’apprécier sous un angle nouveau —l’humour— cet épisode de l’histoire québécoise. Face à la censure de guerre et pour conjurer la mort, les récits recourent à ces stratégies d’évitement ou de subversion que sont l’humour, l’ironie et le sarcasme. On observe ces modes d’écriture dans les témoignages de quelques « Poilus » canadiens publiés entre 1914 et 1920. La majorité d’entre eux servent sous l’uniforme anglais : Henri Chassé, Claudius Corneloup, Arthur J. Lapointe, A. et W. Audette, Joseph A. Lavoie et Moïse E. Martin. Paul Caron (le seul à mourir au front), s’est engagé, lui, dans l’Armée française : cet ardent nationaliste affirmait se battre pour la France et s’opposer au « navalisme et à l’impérialisme britanniques ».

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, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.015
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.216
Teacher spread0.203 · 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; both teacher heads agree on what is shown here.

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
Published2016
Admission routes2
Has abstractyes

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