Can the Neoliberal Subject Condemn [Him]self?: Locating Masculinity at FOX News in Bombshell
Bibliographic record
Abstract
Director Jay Roach’s 2019 film Bombshell draws on a series of real-life sexual allegations against FOX News founder Roger Ailes, depicting the climate in the newsroom and portraying a number of FOX personalities. As a film marketed for mass audiences, it is crucial to question the extent to which the film successfully serves to critique sexism in the FOX News newsroom. The purpose of this paper is thus to examine the portrayal of masculinity and sexism and FOX News in Bombshell. To explore the dynamic of this newsroom, this paper centers on interrogating Bombshell against the notion of a “feminist film”. I first attempt to analyze and locate gendered dynamics within Bombshell, then reflect on portrayed gendered dynamics with reference to the history of FOX News and the way competing masculinities work in the news organization. The FOX News newsroom is unique in the ways varying dynamics of gender manifest within its locale: in front of the camera, a kind of neoconservative “traditionalist” morality and gender order; behind the camera, an “amoral” gender dynamic that aligns with neoliberal free-market principles. I then explore how a gender order is upheld in contradiction, often by the very subjects who are subjected under a masculine-dominant gender order. I question the possibility of any future of gender egalitarianism at FOX News, and conclude by arguing that Bombshell misses the mark in interrogating a gender order, instead problematically framing sexism as chiefly upheld by individuals.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.018 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".