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Training “Blue-Blooded” Canadian Boys: Athleticism, Muscular Christianity, and Sports in Ontario’s “Little Big Four” Schools, 1829–1930

2016· article· en· W2535725801 on OpenAlexaboutno aff
Paul Bennett

Bibliographic record

VenueJournal of Sport History · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsLeagueFootballEliteChristianityBasketballMasculinitySkepticismProtestantismGender studiesColonialismHistorySociologyPoliticsPolitical scienceLawTheologyArchaeology

Abstract

fetched live from OpenAlex

Abstract Athleticism, masculinity, and sports are intimately connected in most boys’ schools. Colonial versions of the famous British public school sprang up over the nineteenth century in an overwhelmingly Protestant, Anglo-Saxon Ontario. Foremost among them were what came to be known as the “Little Big Four” group of schools, Upper Canada College (Toronto, 1829), Trinity College School (Weston, 1865), Bishop Ridley College (St. Catharines, 1889), and St. Andrew’s College (Chestnut Park, Toronto, 1899). Training boys on the sports fields in Ontario’s elite boys’ schools provides an intriguing case study of athleticism, muscular Christianity, and class formation. While critically re-examining previous assumptions, this paper demonstrates that, from 1829 until 1930, the Ontario schools were active agents of “manly” character development. The Canadian “blue-bloods” were a colonial breed apart—exhibiting a strange skepticism about school traditions and practices that were “too British,” favoring Canadian rugby football and American baseball over cricket, and fond of satirizing “Rhubarb Kippering” in popular playground rhymes. This small circle of schools even appropriated the moniker “Little Big Four,” a junior version of the “Big Four,” the original name of the Eastern Conference of the Canadian Football League.

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 categoriesInsufficient 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 score0.551
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.211
Teacher spread0.177 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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