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Record W4392910317 · doi:10.32920/25417177.v1

“Now You See Me": Examining the Sartorial Practices of Young Migrant Muslim Women

2024· preprint· en· W4392910317 on OpenAlexaff
Rehab Mohmed Patel

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsIslamophobiaIntersectionalityGender studiesContext (archaeology)Identity (music)SociologyPerceptionSituational ethicsVisibilitySocial psychologyPsychologyIslamGeographyArtAesthetics

Abstract

fetched live from OpenAlex

Sartorial practices of Muslim women are often viewed through a lens of fashion identity and religious identity. This research explored the intersectionality of young migrant Muslim women and how it shaped their lived experienced. This research methodological approach focused on a critical literature review, semi-structured interviews and wardrobe interviews. The critical literature review allowed an in-depth analysis of existing research surrounding different themes of the dressing practices of Muslim women in a Western context. In addition, the semi-structured interviews and wardrobe interviews allowed a personal in-sight in understanding how intersectional identities are presented through dressing practices. The findings indicate that the sartorial practices of young migrant Muslim women are impacted by gendered Islamophobia, intra-religious conflict, spatial visibility and challenging Western norms. It was uncovered that the participants engaged in situational dressing practices which allowed them to shape the perception of their identities. In doing so, they adjust their garment through spatial visibility.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.081
GPT teacher head0.284
Teacher spread0.203 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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