The Riot and The REDBLACKS: Football's Pluralities, Football's Auralities, Power, Position, and Place
Bibliographic record
Abstract
This thesis presents my personal experience and ethnographic research into some of the sounds and musics heard while participating as an active spectator at soccer and Canadian football games inside of TD Place Stadium in Ottawa, Ontario, Canada. Using Pierre Bourdieu's field-theory in combination with Hobsbawm and Ranger's ideas of invented tradition, I query identity, place, and position with reference to selected social actors and institutions through case studies concerned with two different ways power can be exercised into influence: grassroots and top-down. The first case study examines the invention(s) of supporters' culture in Ottawa from the grassroots level through the Ottawa Fury Football Club and their official supporters' groups: The Stony Monday Riot and the Bytown Boys Supporters Club. The second case study examines an invented tradition, and its associated reinvention of existing traditions, vis--vis the performance of Stompin' Tom Connors' folk-song, "Big Joe Mufferaw," by famed Ottawa musician Lucky Ron at the half-time of an Ottawa REDBLACKS football game. As a more monological and institutionally mediated form of discourse, this second case study will be characterized as a top-down power structure relative to the activities of supporters' groups.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.037 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".