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Record W4398781670 · doi:10.1080/13691058.2024.2351996

Hypersexualisation and racialised erotic capital in sex work

2024· article· en· W4398781670 on OpenAlexaff
Julie Ham

Bibliographic record

VenueCulture Health & Sexuality · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsBrock University
Fundersnot available
KeywordsGender studiesSex workersSex workTemptationPower (physics)White (mutation)SociologyPolitical sciencePsychologySocial psychologyDemographyMedicine

Abstract

fetched live from OpenAlex

Eight people, including six women of East Asian descent, at three massage spas were killed on 16 March 2021 in Atlanta, USA by a 21-year-old White man who sought to eliminate 'temptation' for a sex addiction he claimed to experience. This mass killing compelled public discussion about the hypersexualisation of Asian women in White, Western contexts and the risks faced by Asian women in 'intimate labour'. This occurred alongside a dialogical shift towards sex worker rights in public and media discourses, yet these public dialogues appeared to occur alongside each other, rather than in interaction with each other. In between these dialogues remained questions about the legacies of hypersexualisation and what this means for Asian women in sex work, an industry that resists convenient understandings of desire and power and where hypersexuality may be simultaneously contested and deployed. This article bridges these dialogues to explore how a sex worker rights framework can engage with questions of race, hypersexualisation and erotic capital for Asian women in sex work. This is followed by an analysis of responses to hypersexualisation within Asian diasporic communities, and the implications for a more inclusive sex worker rights movement.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.381
Teacher spread0.345 · 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 teacher head, 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

Citations5
Published2024
Admission routes1
Has abstractyes

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