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Record W2102559569 · doi:10.1177/0961463x09354420

Fashion as Methodology

2010· article· en· W2102559569 on OpenAlexaff
Ilya Parkins

Bibliographic record

VenueTime & Society · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsTemporalityModernityTrope (literature)ScholarshipAestheticsSociologyTemporalitiesThe ImaginaryMarxist philosophyEpistemologyPhilosophyLiteratureArtPsychoanalysisPoliticsPsychologyLaw

Abstract

fetched live from OpenAlex

Recent feminist scholarship has shown that women’s anteriority to ‘the modern’ — and even to time itself — was a powerful and persistent feature of the temporal imaginary at the height of industrial modernity, from about 1860 to 1940. Neo-Marxist work on the time of modernity, for its part, indicates that the dualistic understanding of temporality that structures the trope of feminine timelessness is marked by instabilities and contradictions. Fashion, I argue, makes apparent these instabilities. Approaching the debates on modern temporality through the lens of fashion adds complexity to theories of women’s positioning vis-à-vis modernity, showing that women were invoked simultaneously as modernity’s antitheses and its exemplars. I suggest that the register of ephemerality advanced by fashion offers a useful framework for understanding the variable visibility of women in the late 19th and early 20th centuries.

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)0.015
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0040.022
Scholarly communication0.0100.006
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0150.002

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 head0.062
GPT teacher head0.281
Teacher spread0.219 · 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 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

Citations13
Published2010
Admission routes1
Has abstractyes

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