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Record W2316265253 · doi:10.1386/adch.10.2.199_1

The role of the textile materials library: Providing access to multimodal knowledge in design research

2012· article· en· W2316265253 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.

Bibliographic record

VenueArt Design & Communication in Higher Education · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsTextileDigital libraryWorld Wide WebComputer scienceBest practiceData scienceEngineeringMultimediaKnowledge managementManagement

Abstract

fetched live from OpenAlex

This article explores the role of the physical and virtual textile materials library as an effective multimodal learning and research tool in its provision of tactile, visual samples, technical data and project application information. The abundance of new materials and their increasing complexity is causing designers to rethink the traditional 'samples in a box' approach. The research uses a case study approach that includes consultation with industry, academia, and a review of four contemporary material libraries to explore the formats that future textile libraries may best take. In considering a future textile library, the authors also examine answers to the question: as the number of textiles available continues to expand, how can physical material, image and text-based library techniques best be combined with the web and digital information to make it possible for colleges, public institutions and companies to keep a textile library updated.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.721
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.231
GPT teacher head0.382
Teacher spread0.151 · 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