“We the North”? Race, Nation, and the Multicultural Politics of Toronto’s First NBA Championship
Bibliographic record
Abstract
The Toronto Raptors’ 2019 National Basketball Association (NBA) championship win, a first for the franchise and for a Canadian team, “turned hockey country into basketball nation” ( CBC Radio 2020 ). Canadians’ burgeoning embrace of the team and the sport seemed to point to a growing celebration of Blackness within the nation. However, we problematize the 2019 championship win to tell a more expansive story about how sport and national myths conceal truths about race and belonging in Canada. We explore two particular cases—the “We The North” campaign and the media coverage of Raptors superfan Nav Bhatia—to highlight the contradictory ways that the Raptors coverage mobilized symbols of the North and multiculturalism to present the team as quintessentially Canadian and rebrand basketball for Canadian audiences. We further explore how these stark contradictions manifest in the racialized policing of basketball courts in the Greater Toronto Area (GTA). These cases demonstrate that the celebrations of the Raptors and basketball not only continued to police racialized bodies, but also ensured that their inclusion was contingent on the maintenance of the status quo.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".