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Record W3082899048 · doi:10.1386/fspc_00048_1

Rich relations: The evolution and uneasy symbiosis of art and fashion

2020· article· en· W3082899048 on OpenAlexaff
Mark O’Connell

Bibliographic record

VenueFashion Style & Popular Culture · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsSeneca Polytechnic
Fundersnot available
KeywordsAppropriationExhibitionCommercializationPoliticsRepresentation (politics)Contemporary artPower (physics)Visual artsArtAmbivalenceAestheticsInclusion (mineral)Art worldFine artMuseologySociologyPolitical scienceArt historySocial scienceEpistemologyPerformance artLaw

Abstract

fetched live from OpenAlex

From its earliest roots, art was used to codify and communicate what is fashionable, powerful and luxurious. Recently, however, through institutional mega art projects like the Fondation LV and the Fondazione Prada, fashion seeks not just to legitimize itself, but to position itself as patron-cum-collaborator. Up until now the art world has been happy to take the money, but has been ambivalent towards the commercialization that co-branding brings. However, the highest grossing exhibits at hallowed cultural institutions – like the McQueen retrospective at the Met – have been fashion based. It seems, as of late, the fashion industry has gone past sponsorship and now seems to be colonizing the environs of the art world itself. These new imbrications hold significance for a broad range of related topics such as creative appropriation, feminist theory, and issues of gendered representation and power. As such, the politics of criteria for inclusion and collection must now become a necessary aspect of the dialogue within fashion, art and museum studies, and the thinking that situates them as discrete entities that exist within autonomous domains irrelative to each other also needs to be challenged. This article explores the cartography between autonomous art culture, fashion marketing, and fashion exhibition, and the increased blurring of their overlapping borders. It also looks at the commercialization of the museum and fine art institutional domain.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score0.424

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 studies0.0000.000
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 head0.025
GPT teacher head0.222
Teacher spread0.197 · 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 designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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