Training “Blue-Blooded” Canadian Boys: Athleticism, Muscular Christianity, and Sports in Ontario’s “Little Big Four” Schools, 1829–1930
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".