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Record W4254113528 · doi:10.32920/ryerson.14651700

Sound as Signifier: Communication and Expression Through the Sound of Clothing

2021· preprint· en· W4254113528 on OpenAlexaff
Tala Kamea Berkes

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsToronto Metropolitan UniversityUniversity of Alberta
Fundersnot available
KeywordsClothingConnotationSound (geography)Denotation (semiotics)Expression (computer science)AestheticsSemioticsFocus (optics)FeelingPsychologyVisual artsArtCommunicationComputer scienceLinguisticsAcousticsSocial psychologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

Fashion, clothing, and dress have traditionally been evaluated on visual characteristics. This paper focuses on the aural qualities of clothing and on what is being communicated through sound. Semiotic theory, in particular denotation and connotation, discusses the ability of clothing to communicate through sound. Philosophical ideas of expression through music and sound emphasized the significance of feeling and experience in art and fashion. Five garments were designed as sound objects to explore this link between sound and clothing. The garments are featured in a video in which two musicians dance in the pieces. Musician Born Gold created an original film score from the recorded sounds of the pieces. These works attempted to direct the focus of fashion experience towards sound, without disregarding the cultural emphasis on visual aesthetics. The intention is to shift the way individuals relate to their clothing, to a fuller and more cognizant sensory experience.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.007
Scholarly communication0.0060.004
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.084
GPT teacher head0.291
Teacher spread0.207 · 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
Published2021
Admission routes1
Has abstractyes

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