“Family-Friendly” without the Double Entendre: A Spatial Analysis of Normative Game Spaces and Lesbian Fans
Bibliographic record
Abstract
In this article, I demonstrate the importance of employing a feminist geographic framework in order to both read WNBA game spaces and to understand lesbian fan participation within these spaces. I argue that attending to the production of WNBA game spaces makes visible the ways that normative cultural politics become manifest, and brings to the fore the ways that dominant relations are naturalized and rarely questioned. Further, attention to the production of these leisure spaces compels an examination of the relationship between spatialized normativity and claims to, and performances of, lesbian identity. By understanding social space as a productive force, it is possible to conduct a critical reading of the materiality of WNBA game spaces and the implications for the reproduction of naturalized (hetero)normativity. In addition, it illustrates that lesbian fan experiences and interpretations of normative WNBA game spaces must be examined in a framework that takes seriously the factors that inhibit critical engagement with (hetero)normativity, as well as the central role that lesbian fans play in the co-production of these spaces.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".