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Record W3169321997 · doi:10.1386/ac_00033_1

Hooligan Sparrow: Representation of sexual assault in Chinese cinema, feminist activism and the limits of #MeToo in China

2021· article· en· W3169321997 on OpenAlexaff
Mirela David

Bibliographic record

VenueAsian Cinema · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMovie theaterSubjectivityChinaGender studiesFilm directorSociologyRepresentation (politics)Power (physics)Media studiesPolitical scienceHistoryLawArt historyPolitics

Abstract

fetched live from OpenAlex

Hooligan Sparrow breaks with many taboos in Chinese cinema. It is the first internationally acclaimed documentary by a Chinese female director to centre upon investigating the activities of Ye Haiyan, a Chinese sex and women’s rights activist, as well as to address the politically sensitive topic of sexual assault in China. This is the first study to examine the cinematic contributions of Wang Nanfu and Ye Haiyan’s activism and feminist writings posted on Ye’s online social media accounts on Sina Weibo and Twitter. I unpack the power dynamics in this documentary as well as the interplay between the filmmaker’s subjectivity and the female rights activist’s subjectivity. This study also investigates how masculine aesthetic representations of sexual assault in Chinese cinema have blurred the issue of consent and shows how the subjectivities of female directors like Wang Nanfu and Vivian Qu bring more impactful representations of sexual violence in Chinese cinema.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.026
GPT teacher head0.328
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

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