She's filing her nails while they're dragging the lake, representations of women in contemporary film noir
Bibliographic record
Abstract
This thesis examines the representation of women in contemporary film noir. Its purpose is to demonstrate how film noir, by virtue of its pessimistic and anti-institutional thematic concerns and formal strategies, offers a unique opportunity for more progressive representations of women and gender relations than mainstream narrative cinema conventionally allows. Through an investigation of Blue Velvet, Twin Peaks, Body Heat, The Last Seduction, Bound, and Diabolique l identify the ways in which film noir exceeds and challenges the boundaries of conventional mainstream narrative cinema. The methodology used incorporates theories of representation, theories of spectatorship and feminist cultural theory. This work seeks to articulate the way in which film noir problematizes and denaturalizes patriarchal social practices and systems, provides the female spectator with a pleasurable, empowered construction of woman through the figure of the femme fatale, and expands discourse on gender and sexuality by subverting the mainstream endorsement of a heterosexist cultural norm.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.038 | 0.009 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.031 | 0.003 |
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".