Representing the Female Pugilist: Narratives of Race, Gender, and Disability in Million Dollar Baby
Bibliographic record
Abstract
Clint Eastwood’s Million Dollar Baby won five Academy Awards but also came under attack from female boxers and disability activists. Ostensibly a drama about a tenacious woman’s quest to become a professional fighter and the male coach who assists her, Million Dollar Baby appears to insert a radical portrayal of femininity, female athleticism, and power into the male-dominated genre of boxing films and, more generally, a media that has been largely hostile to female boxing. We explore the extent to which the female lead can be viewed as a transgressive figure along with the discourses of containment that reduce her threat to longstanding cultural myths about boxing as a male preserve. Our analyses of the film’s racial, gender, class, and disability politics contend that its focus is not women’s boxing, disability, or the right to die; rather, like boxing, this film is about the male struggle to protect masculinity in a sporting world deeply shaken by the increasing presence of women.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.014 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".