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Record W3041382910 · doi:10.24908/iqurcp.14023

Fashioning Enemies of the State: Investigating Sartorial Subversion in Soviet States

2020· article· en· W3041382910 on OpenAlexvenueno aff
Ben Pulver

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsnot available
Fundersnot available
KeywordsSubversionState (computer science)PoliticsGovernment (linguistics)Interpretation (philosophy)Political scienceSociologyPolitical economyHistoryAestheticsLawArtPhilosophy

Abstract

As far back as 1867, early-modern fashion has been the subject of harsh criticism. In his Critique of Political Economy, Marx referred to fashion as “murderous” and as having “meaningless caprices” (Marx and Engels 1967). The Soviet states certainly recognized the importance of clothing to reflect and inform its citizens of the preferred modest lifestyle. The main purpose of this study is to analyze two specific cases of sartorial resistance in two Soviet societies. Specifically, I will be examining the case of Allerleirauh (1980-89) in East Germany, and the Stilyagi (1940s-1960s) in Soviet Russia. In order to test the differences and similarities in the sartorial subversions, I will analyze a number of primary and secondary documents. There are four forms of primary documents that I will analyze: state-run magazines, periodicals, and photographs (both state-sponsored, and fringe), from the GDR and Soviet Russia. My interpretation— of the visual and textual responses to the youth groups who subverted the sartorial codes of the GDR and in Soviet Russia— has led me to propose two main speculative-conclusions. First, the responses by the government, such as the satirical cartoons of the Stilyagi, reveal the extent to which government officials recognized, and felt threatened by, the potential potency of dress to cause political disturbance. Second, the reactions of condemnation towards the fashionably-dissident makes salient the recognition that visual culture and semiotics in fashion, particularly when the body (as a sort of canvas) is implicated, can yield politically-threatening influence.

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: venue_new · design weight: 2684.25 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Historical analysis of sartorial resistance in Soviet states; humanities scholarship.

GPT-5.6 (high)OUT
genre: conceptual
about Canada: no
confidence: high

It analyzes fashion and political resistance in Soviet societies, not research.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Historical study of fashion subversion in Soviet states; cultural history, not science studies of research.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.004
Science and technology studies0.0040.007
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.185
GPT teacher head0.344
Teacher spread0.158 · 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 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
Published2020
Admission routes1
Has abstractyes

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