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Record W3091951069 · doi:10.35632/ajis.v32i2.973

Islamic Fashion and Anti-Fashion

2015· article· en· W3091951069 on OpenAlexaboutno aff
Sophia Rose Arjana

Bibliographic record

VenueAmerican Journal of Islam and Society · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsIslamClothingIslamophobiaPietyIdentity (music)Gender studiesPoliticsSociologyIslamizationStyle (visual arts)ScholarshipMedia studiesAestheticsHistoryPolitical scienceArtVisual artsLaw

Abstract

fetched live from OpenAlex

This volume of scholarship surrounding Islamic fashion presents a counternarrativeto a dominant story: that Muslim women in the West are subjugatedby the oppressive and patriarchal yoke of Islam. Islamic Fashion and Anti-Fashion: New Perspectives from Europe and North America offers a freshnew look at veiling, its intersection with religious piety, family, community,religious authority, fashion, and commoditization through sixteen distinct stud-104 The American Journal of Islamic Social Sciences 32:2ies ranging from clothing items like the burqini and the pardosu to larger issuessurrounding identity and politics, such as North American Islamophobia andits impact on Canadian Muslims. This book represents a large field of researchon Muslim women’s lived experiences, one that reveals the complexities inherentin these religious actors whose choices of dress reveal a large set ofcompeting values, desires, and commitments.The book is organized into five sections: location and encounter, historyand heritage, the marketplace, fashion and media, and fashion and anti-fashion.Two of its attractive features are the numerous black and white images runningthrough many of the chapters, as well as the two groups of stunning, provocativecolor photographs showing the richness of Islamic fashion, from “hijabistreet style” to London Muslim hipster style ...

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.005
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.024
GPT teacher head0.237
Teacher spread0.212 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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Same venueAmerican Journal of Islam and SocietySame topicFashion and Cultural TextilesFrench-language works237,207