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Record W3080383035 · doi:10.38055/fs010106

The Several Lives of a Collection of Rag Dump Clothing from Normandy (1900–55): From Farm, to Dump, to Poverty Chic

2018· article· en· W3080383035 on OpenAlexvenueno aff
Lou Taylor

Bibliographic record

VenueFashion Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsClothingDenimVintagePovertyTextileAbandonment (legal)EngineeringAdvertisingBusinessHistoryPolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

This material culture-based text researches the history of a collection of damaged clothing (1900–50s) once worn by farming families in Normandy and Brittany. The clothing was excavated from a textile dump in an abandoned warehouse in Normandy in 2012. This research examines the six life cycle stages of this clothing from original use, to abandonment, resurrection, and upcycling onto the extreme edges of the vintage fashion world. This text then follows the growing use of ragged clothing as design inspiration for both costly couture garments and the cheapest mass high street designs over the last thirty years or more. Carefully destroyed but brand-new and sweet-smelling denim jeans and jackets are now admired by celebrities and young high street fashion consumers around the world as fashionable commodities — worn with little regard to the health dangers faced by workers dealing with sand blasting and bleaches. The research then examines the cultural and social forces behind this interest in destroyed textiles in the world of fashion.

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 score0.278
Threshold uncertainty score0.995

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.279
Teacher spread0.229 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

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