"Pass it to your girlfriend!": A collaborative autoethnography of a friendship through women's sports fandom
Bibliographic record
Abstract
Like broader transformative fandom, women's sports spaces are constructed as queer and feminist despite structural anti-Black racism and reinforcement of neoliberal consumerism. Being queer women's sports fans involves embracing the love of the game and many of the players while grappling with troubling politics in both the sports and their fandoms. We use collaborative autoethnography to examine our friendship as a critical feminist sports scholar and a transformative fandom member who have formed a fandom of two around our love of the National Women's Soccer League (NWSL) and Women's National Basketball Association (WNBA) in the United States, while feeling alienation from many other women's sports fans, including at live games and in women's sports real person fiction (RPF) spaces. Drawing on the works of Sara Ahmed and Rukmini Pande, a feminist/fandom killjoy approach is useful for negotiating such contradictions as fans, for cocreating fan practices together, and for articulating hopes for the future of women's sports.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.016 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".