Skating the Line: Transnational Hockey in the Interwar Windsor-Detroit Borderlands
Bibliographic record
Abstract
Scholarship on the role of ice hockey in the development of the Canadian identity has neglected the unique experience of border communities in their discussions of the relationship between the formation of hockey fandom and Canadian nationalism. Usually focused on large hockey communities in Canada such as Toronto and Montreal, these studies examine the “Canadian” experience of hockey without considering the multi-faceted nature of border cities that were exposed to both Canadian and American ice hockey clubs.\nThis paper argues that professional hockey fandom in the Windsor-Detroit borderlands demonstrated that Windsorites’ shared socio-cultural conditions with Detroit, Michigan made them identify more with their American neighbours than other Ontario cities such as Toronto or Hamilton. Through an examination of newspapers from the region such as the Border Cities Star and the Detroit Free Press, it is evident that the “borderlands” identity of the area was more influential in the formation of Windsor’s identity than the province’s broader nationalist tendencies. Furthermore, the installation of the National Hockey League’s Detroit Cougars in Windsor during the 1926-1927 season strengthened the cross-border sport community that already existed in the region. Strategic marketing and language found in print media in the years following the Cougars’ move to Detroit in 1927 also emphasized the working-class values of the area. These values made the Detroit team more appealing to Windsor audiences than that of their closest Canadian competition, the Toronto Maple Leafs, which catered to upper-class audiences.
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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 | 0.001 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".