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Record W1541640644

Heroes, Villains and Canucks: Constructing Canadian “Otherness” in American Juvenile Sporting Fiction, 1890-1940

2007· article· en· W1541640644 on OpenAlexaboutno aff
Andrew Holman

Bibliographic record

VenueJournal of international women's studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsJuvenileHistoryArtSociologyEthnologyBiology
DOInot available

Abstract

fetched live from OpenAlex

What did it mean to be a real American boy in the fifty years before World War II? How did that image help define what Americans thought of Canada? This project studies the literary construction of national character in these years through a rich, but underused source: the scores of sports novels and short stories for boys produced during the heyday of the “pulps,” 1890s-1940s. Scholars have identified this popular literature as a vehicle celebrating quintessential American traits; but boys’ sports fiction simultaneously constructed otherness, articulating difference from the American ideal. In those stories that involved winter settings and the sport of ice hockey, almost invariably Canada and Canadians appear. In American hockey stories, the game was used as a canvas on which national cultures were played out, even between cultures as ostensibly similar as Canada and the U.S. This project will examine and interpret the meaning of those depictions, drawing examples from a study of more than 50 novels and 250 short stories.

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)0.003
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 score0.066
Threshold uncertainty score0.383

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0420.022
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0010.003
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 head0.012
GPT teacher head0.283
Teacher spread0.271 · 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
Published2007
Admission routes1
Has abstractyes

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