The Research on the Representational Strategies of Femme Fatale in Contemporary Chinese Film-noir
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In 2014, Chinese director Diao Yinan’s feature Black Coal, Thin Ice wins the Golden Bear Award for Best Director at the 64th Berlin Film Festival, sparking enthusiastic discussion on the prospect of the so-called 'Chinese film-noir'. Among the classic noir elements that sparked discussion in these films, the lethal woman, or the ‘femme fatale’ stands out to be the one that attracts the most attention. In the span of a decade, the Chinese femme fatale varies quite enormously in her role in the narrative and the gender implication her relationship with the noir hero represents. This essay will build on Mark Conrad’s definition of film-noir, Jack Boozer’s categorization of femme fatale, and Elisabeth Bronfen’s tragic theory to analyze the construction of femme fatale in 2010s Chinese film noir. Equipped with these theoretical tools, this essay will focus on recent Chinese films-noirs and draw connections between their different representational strategy of the femme fatale to complete their noir narrative. This essay argues that while films like the Hunt Down (2019) and Long Day’s Journey Into Night (2018) approaches the lethal woman in the classic androcentric or even misogynist way, Black Coal, Thin Ice (2014) and the Wild Goose Lake (2019) endows her with more subjectivity and agency while complicating her relationship with the noir hero.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 it