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Record W3214945227 · doi:10.1080/17543266.2021.2004243

Fashion industry perceptions of clothing design for persons with a physical disability: the need for building partnerships for future innovation

2021· article· en· W3214945227 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Fashion Design Technology and Education · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsKéroulCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre de réadaptation Lethbridge-Layton-MackayJewish Rehabilitation HospitalMcGill UniversityCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanCentre for Interdisciplinary Research in RehabilitationShriners Hospitals for Children - CanadaUniversité de Montréal
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchRéseau Provincial de Recherche en Adaptation-RéadaptationUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
KeywordsClothingCredibilityBridge (graph theory)PerceptionClothing industryProcess (computing)Public relationsBusinessMarketingPsychologyMedicinePolitical scienceComputer science

Abstract

fetched live from OpenAlex

Introduction: Persons with a physical disability may need adapted clothing to facilitate their full participation in society; it is unclear what information designers use to create adapted clothing. Objective: Explore the perspectives of fashion industry representatives regarding adapted clothing and gauge their receptiveness towards academic inquiry. Methods: Semi-structured interviews with five female adapted clothing designers were conducted, transcribed verbatim, coded, and analyzed thematically. Results: Participants felt research (i.e. knowledge and guidance) could benefit the design process and spoke about industry barriers (e.g. time, manufacturing, human and material resources, marketing, level of importance) to designing adapted clothing. Conclusions: Strengthening collaborations with stakeholders (e.g. researchers, designers, consumers, health professionals, caregivers) may add credibility to future adapted clothing designs and bridge the gap between research and practice. Engagement from fashion design trainees could also contribute to growing a more socially responsible industry.

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.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.373

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.076
GPT teacher head0.326
Teacher spread0.250 · 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