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Record W4250330902 · doi:10.38055/fs010204

Contemporizing Modesty

2019· article· en· W4250330902 on OpenAlexaffvenue
Romana Mirza

Bibliographic record

VenueFashion Studies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsVisual artsNarrativeGlobeClothingArtContext (archaeology)The artsFashion designArt historyHistoryLiterature

Abstract

fetched live from OpenAlex

Contemporary Muslim Fashions, September 22, 2018 – January 6, 2019 was organized by the Fine Arts Museums of San Francisco, shown in the de Young Museum and curated by Jill D’Alessandro and Laura Camerlengo, both curators at the museum, and consulting curator Reina Lewis, a scholar at the London College of Fashion, University of the Arts London. The aim was to represent contemporary Muslim fashions. To this end, they assembled and exhibited a collection of garments from the most popular fashion designers of the day, chosen from a series of shows at modest fashion weeks around the world. Supplemented by key pieces that have gained traction in the news such as the Burkini™ and Nike®’s sport hijab, this exhibit elevated perceptions and highlighted a global view by showing designs from around the globe, honouring the African-American, Muslim-American, Arab, and South East Asian cultures and aesthetics. Supporting the sartorial narrative was a display of visual and multimedia art from hip hop music videos, film, Instagram feeds, photography, magazine covers, and prints. The multimedia “exhibit within an exhibit” complemented the sartorial narrative by providing a contemporary context for the clothing. It reminded the observer that the exhibit was not merely about fashion history or the evolution of modesty in dress but about a contemporary moment. The relationship between fashion and the body was explored through designs that cover the body and intentionally hide the often objectified and sexualized female figure to reveal a contemporary approach to fashion that is empowering.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score1.000

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)0.0010.003

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 head0.111
GPT teacher head0.292
Teacher spread0.181 · 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 designTheoretical or conceptual
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

Citations2
Published2019
Admission routes2
Has abstractyes

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