Cyber Backlash and the Maintenance of Sex Segregation in Professional Sport
Bibliographic record
Abstract
Abstract In 2013, Mark Cuban, the team owner of Dallas Mavericks of the National Basketball Association (NBA), announced that he would consider selecting female basketball player Brittney Griner to play for his professional men’s team. Within 24 hours after ESPN posted an online article reporting Mark Cuban’s statement, 921 online comments were posted in response. This study analyzes these comments to investigate the pervasive sexism and gender discrimination found in online sporting news arenas. It investigates how Brittney Griner’s sex, gender, and athletic ability became subjects of scrutiny and debate in these online comments and how discriminatory comments about Griner were routinely extended to all female athletes and to women even outside of sport. By examining the online backlash against Mark Cuban’s proposal, this paper investigates the maintenance of sex segregation in professional sport and the systemic devaluing of female athletes and privileging of male athletes that upholds it.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".