‘Musculinity’ and the Empowered Female Body in <i>Haywire</i> (2011)
Bibliographic record
Abstract
Abstract For much of its peak popularity in the 1970s and 1980s, women in action films were relegated to the damsel in distress and/or the romantic interest for the male lead. This was particularly evident in action films where women were depicted as being petite and submissive, especially towards the heroic male. Rarely did women occupy the primary focus in action films. Nowadays women are more frequently occupying positions of creative power as producers and actors, and there are some notable examples of progressive female roles in modern film. Female action stars tended to occupy one of two roles, that of what Marc O'Day (2004) labelled ‘action babe’ cinema, using the colloquial and dismissive term ‘babe’ as an indication of the derogatory nature of the female action hero who was often just a supermodel with a gun. However, there has emerged another type of female action star, the tough, aggressive and physically capable female action star, such as Sarah Connor in Terminator 2: Judgement Day (1992). Yvonne Tasker coined the term ‘musculinity’ to define this new model of tough women; female action stars who appropriate what are considered traditionally masculine traits (developed muscles, aggression, confidence, leadership skills, bravery). The presence of athletic women in action films, especially when compared to their male counterparts, defies expectations for women, and as such provides a unique example to analyse in terms of gender dynamics. This is especially true of combat sports, where aggression is a feature of the sport and still considered a testosterone-oriented attribute. Indeed, in the 1970s and 1980s, the peak of the male action star, martial arts and associated combat sports provided opportunities for many former athletes to transition into action films. Using Tasker's framework of musculinity, I will examine Haywire (2011) as a notable progression in the representation of female action stars and musculinity. Focusing on a case study of Gina Carano's role in Haywire, and her subsequent career narrative, this chapter highlights how perceptions of masculinity and femininity in both combat sports and action films have previously limited roles for women and how much that has shifted in contemporary filmmaking.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".