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Record W3080948549 · doi:10.38055/fs010108

Figurative Mobility: Veiling, Orientalism, and Unknowing Women in US Vogue, 1917–25

2018· article· en· W3080948549 on OpenAlexaffvenue
Ilya Parkins

Bibliographic record

VenueFashion Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFemininityLiteral and figurative languageWhite (mutation)Power (physics)AestheticsNormativeGender studiesSociologyArtLiteraturePhilosophyLinguisticsEpistemology

Abstract

fetched live from OpenAlex

In the years of the veil’s declining popularity as a fashion accessory, the New York edition of Vogue devoted sustained attention to the garment. A series of textual meditations on its significance amounted to a minor philosophical discourse on concealment, revelation, and femininity itself. This preliminary investigation of these treatments of veiling considers its positioning vis-à-vis both the white women who were the normative subjects and imagined readers of the magazine, and orientalized women who were only spectrally present in the pages of Vogue. This paper compares the ways that veiled unknowability was figured for white women and orientalized women in the pages of the magazine, and considers the veil-as-fashion-accessory (distinct from but obliquely related to the imagined “veil-as-cultural-signifier”) as a material technology of opacity that was seen to enable a strategic positioning of white femininity in relation to power. Veiling presents a significant instance of a power-saturated relational encounter, highlighting asymmetrical points of contact between two feminine imaginaries, which hinged on questions of opacity as a conceptual analogue to feminine mystery. This reading shows that invocations of the veil frequently defaulted to translucency while remaining steeped in the language of opacity, and thus obliquely established translucency as a privileged category that allowed white bourgeois women some conceptual mobility while tying orientalized women to pure opacity.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.679

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.058
GPT teacher head0.298
Teacher spread0.241 · 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 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

Citations3
Published2018
Admission routes2
Has abstractyes

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