Bibliographic record
Abstract
Every four years, millions of Canadians watch women play hockey during the Olympics. Yet when it comes to regularly scheduled professional games, that audience dramatically decreases. In 2019, low audience numbers led to the closure of the Canadian Women’s Hockey League and put the future of professional women’s hockey in jeopardy. As with many women’s sports, broadcasters argue the cost of production is too great, the value of airtime minutes too high to take the financial risk of televising the women’s game without guaranteeing viewers for advertisers. Activists and athletes argue that the audience must be built through broadcaster investment. While scholars have examined hockey for its representational power to define national and gendered identities, there has been shockingly little research into the hockey audience. This mixed method audience reception study seeks to explore the viewing inconsistencies of the audience for women’s hockey. Quantitative results from an online survey (n =685) provided data about viewing habits, perceptions and knowledge. This data informed qualitative focus groups (n = 25) that in turn provided contextualization and reasoning for the quantitative data. Mixed method analysis intersected grounded theory with audience reception, sport media, feminist studies and affect theory to identify a persistent discursive strategy framing women’s hockey as “pure” for resisting the crass commercialization, incessant violence and individualistic star system of professional men’s hockey. I argue that women’s hockey becomes the manifestation of the Canadian myth of hockey; men’s hockey as it used to be. As a nostalgic placeholder devoid of context, contemporary women’s hockey functions within a double bind; virtuous and elevated yet non-viable as a commercial enterprise. This ensures that the sport remains precarious at best. “Pure” women’s hockey also functions as a postfeminist essentializing discourse that solves the gender risk of hockey’s hypermasculinity while disavowing women’s physically aggressive play and sport media’s affective currency. Whereas Olympic women’s hockey relies on patriotic pride for audience affective engagement, professional women’s hockey is framed by cognitive contradictions, “pure” but commercial, gender normative but transgressive. Confused and disconnected from the game and players, audiences are left unaffected.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".