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Record W7103555762

BRINGING THE WAR HOME\nTHE PATRIOTIC IMAGINATION IN SASKATOON, 1939-1942

2010· article· W7103555762 on OpenAlexaboutno aff

Bibliographic record

VenueInsecta mundi · 2010
Typearticle
Language
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPatriotismSpanish Civil WarGovernment (linguistics)World War IIKey (lock)
DOInot available

Abstract

fetched live from OpenAlex

In The American West Transformed: The Impact of the Second World War, noted historian Gerald D. Nash argued that the war, more than any other event in the West's history, completely altered that region.1 There is as yet no equivalent of Nash's fine study for the Great Plains north of the forty-ninth parallel, or what Canadians call the "prairies."2 This gap notwithstanding, historians of western Canada have begun to explore at least one key aspect of Nash's research: the war's impact on cities. Since 1995 there have been three histories of urban centers in wartime: Red Deer (Alberta), Lethbridge (Alberta), and Regina (Saskatchewan).3 However, these previous studies pay insufficient attention to the impact of "patriotism," a curious omission given how frequently both government officials and ordinary citizens used their love of country as a rallying cry. In this article I focus on Saskatoon, whose 43,027 inhabitants made it Saskatchewan's second-largest city, and examine the way in which patriotism was nourished in the collective mind by several war-related events in the city.4 Through what may be called the patriotic imagination, the war was made intense and immediate to prairie dwellers far removed from its conflict zones.5

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.006
GPT teacher head0.219
Teacher spread0.213 · 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
Published2010
Admission routes1
Has abstractyes

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