Living With War: Sport, Citizenship, and the Cultural Politics of Post-9/11 Canadian Identity
Bibliographic record
Abstract
If sport scholars are going to contribute to a critical (inter)national dialogue that challenges “official versions” of a post-9/11 geo-political reality, there is a need to continue to move beyond the borders of the US, and examine how nationalistic sporting spectacles work to promote local military initiatives that are aligned with the imperatives of neoliberal empire. In this article we provide a critical reading of the Canadian Broadcasting Corporation’s nationally-televised broadcast of a National Hockey League game, colloquially known as Tickets for Troops . We reveal how interest groups emphasized three interrelated narratives that worked to: 1) personalize the Canadian Forces and understandings of neoliberal citizenship, 2) articulate warfare/military training with men’s ice hockey in relation to various promotional mandates, and 3) optimistically promote the war in Afghanistan and the Conservative Party of Canada via storied national traditions and mythologies.
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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 | 0.002 | 0.000 |
| 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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".