MétaCan
Menu
Back to cohort
Record W4324354423 · doi:10.1080/09589236.2023.2191314

Embodied ambivalence in Taiwan: fat women and gender minorities’ negotiation and subversion of their hyper(in)visibility

2023· article· en· W4324354423 on OpenAlexafffund
Amélie Keyser-Verreault

Bibliographic record

VenueJournal of Gender Studies · 2023
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsConcordia University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsGender studiesSubversionContext (archaeology)SociologyAppropriationFemininityNegotiationBeautyVisibilityQueerHuman sexualityPoliticsAestheticsPolitical scienceLawArtHistorySocial science

Abstract

fetched live from OpenAlex

Based upon Jeannine Gailey’s concept of ‘hyper(in)visibility’ of fat women (2014), this article has two goals: (a) to analyse Taiwanese self-identifying fat women and gender minorities’ management and negotiation of their (in)visibility; and (b) to examine the local appropriation of the important international feminist movement that is fat activism in a non-Euro-American context. Drawing upon in-depth conversations with Taiwanese women, fat activists, and gender minorities who self-identify as fat, the findings reveal that they embody a paradoxical hyper(in)visibility. Given their large body size, fat women and gender minorities are hypervisible and their bodies are dissected publicly and privately, while at the same time their corpulent bodies are marginalized and overlooked. Moreover, since the most important criterion determining whether a Taiwanese woman is considered beautiful is thinness, the beauty cult also means a fat-phobic culture within which participants suffer from a dehumanizing gaze. As a result, some fat women choose to enact docile and cute femininity by embodying the figure of a ‘marshmallow girl’, while activists subvert gender and body-size norms and fight for fat acceptance and body diversity. Some activists try to reverse and queer the fat-shaming and abject representational codes and embody fat euphoria momentums.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.208
GPT teacher head0.457
Teacher spread0.250 · 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 designObservational
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
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Gender StudiesSame topicObesity and Health PracticesFrench-language works237,207