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Record W3080272520 · doi:10.38055/fs020202

Exhibition Review: Gender Bending Fashion

2019· article· en· W3080272520 on OpenAlexaffvenue
Myriam Couturier

Bibliographic record

VenueFashion Studies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsExhibitionClothingContext (archaeology)StorytellingNarrativeVisual artsAestheticsSociologyFashion designThe artsCraftArtHistoryLiterature

Abstract

fetched live from OpenAlex

The Boston Museum of Fine Arts’ recent 2019 exhibition, Gender Bending Fashion, explored some of the ways in which designers and wearers in European and American contexts have challenged traditional ideas around dress and gender over the last century. This included the rejection of conventional dress codes (in the form of men wearing skirts and women wearing suits); the blurring of gender lines in fashion (the combination of “masculine” and “feminine” design elements and the construction of unisex clothing); as well as attempts to transcend the idea of gendered dress altogether (through the creation of new forms of genderless clothing). This review highlights key objects featured in the exhibition, with special attention paid to everyday ensembles and personal narratives that effectively communicated ideas of embodiment, cultural experience, and fashion storytelling that were missing from some of the high fashion garments on display. The deliberately critical and academic approach taken by the curatorial team is discussed, as are some of the tensions and material challenges inherent in representing different bodies and expressions of gender in the context of a major museum fashion exhibition. This exhibition addresses themes that are of critical importance to fashion curators, scholars, and anyone interested in fashion studies more generally.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.004

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 head0.115
GPT teacher head0.309
Teacher spread0.194 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2019
Admission routes2
Has abstractyes

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