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Record W3144143265 · doi:10.1080/03086534.2021.1892373

The Temptation of War: How Alcohol Affected the Canadian First World War Experience in Hastings, 1917

2021· article· en· W3144143265 on OpenAlexaboutno aff
Luke Flanagan

Bibliographic record

VenueThe Journal of Imperial & Commonwealth History · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsTemptationEmpireGovernment (linguistics)World War IITheme (computing)HistoryBritish EmpireLawEconomic historySociologyCriminologyAncient historyPolitical sciencePsychologySocial psychology

Abstract

fetched live from OpenAlex

This article analyses the consumption of alcohol amongst Canadian soldiers based in the East Sussex town of Hastings in 1917. It shows that more relaxed restrictions on alcohol in Britain to those in Canada, all provinces and eventually the federal government had prohibited alcohol by 1918, proved too much of a temptation for some Canadians, who were caught up in instances of drunkenness, disorder and petty crime. The wide availability of alcohol in the town coupled with poor administration and scattered billets provided a fertile environment for ill-discipline. This caused tension between some in the community and the Canadians. Another theme which started to emerge in Hastings was that Canada was more socially advanced than Britain. The motherland’s reluctance to completely ban alcohol was viewed as archaic and backwards. For some Canadians, this warranted a loosening of the attachment to Britain and the Empire in favour of Canada. The Canadian’s experience of alcohol in Hastings may, therefore, point to how Canada was moving away from Britain and the Empire and strengthening its own sense of self. This aspect warrants further research.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.584
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.000
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 head0.039
GPT teacher head0.278
Teacher spread0.239 · 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
Published2021
Admission routes1
Has abstractyes

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