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Record W1964960259 · doi:10.1080/02722011.2010.496901

Bats Along the Border: Sport, Festivals, and Culture in an International Community during the First World War

2010· article· en· W1964960259 on OpenAlexaffabout
Brandon Dimmel

Bibliographic record

VenueThe American Review of Canadian Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsWestern University
Fundersnot available
KeywordsPatriotismNationalismPrideNational identityWorld War IINeutralityPolitical scienceSociologyEthnologyGender studiesEconomic historyHistoryLawPolitics

Abstract

fetched live from OpenAlex

To date most of the work on Canadian national identity and the Great War has focused on military accomplishments or purely domestic affairs. This article takes a different approach. It examines the war's impact on national and local identities by examining relations between Canadian and US boundary neighbors St. Stephen (New Brunswick) and Calais (Maine), small lumbering towns separated only by the narrow St. Croix River. Here, locals gave the border little thought as they crossed from one side to the other for sports events, festivals, and national holiday celebrations. An analysis of these communities and their interaction at the social level reveals that despite American neutrality from 1914 through 1917 and heavy patriotism in Canada throughout the war, nationalism was not incompatible with long-standing local pride in the permeability of the area known as the St. Croix Valley.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.455

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.011
Science and technology studies0.0200.013
Scholarly communication0.0100.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.317
Teacher spread0.297 · 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

Citations1
Published2010
Admission routes2
Has abstractyes

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