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Record W3195632047 · doi:10.32873/unl.dc.tsasp.0097

India in Situ: Textile History and Practice, a Team Approach

2021· article· en· W3195632047 on OpenAlexaboutno aff
Annin Barrett, Carol Bier, Anna Jolly, Louise W. Mackie, Barbara Setsu Pickett

Bibliographic record

VenueTextile Society of America Symposium Proceedings · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsAdventureWeavingNational museumTextileScholarshipVisual artsTextile designGenerosityEngineeringNew delhiArtArt historyHistoryArchaeologyPolitical scienceMechanical engineeringLaw

Abstract

fetched live from OpenAlex

Five textile specialists from various backgrounds came together to explore shared interests in Indian fabrics, histories, and architectural patterns. Guided by Rahul Jain’s extraordinary scholarship and generosity, we visited weaving workshops producing exquisite fabric and metallic yarn in our quest to understand the naqsha system for drawloom patterning. In Cholapur and Varanasi, we studied drawlooms set up to weave velvet, lampas, and samite, and a distinguished naqshaband demonstrated the making of a naqsha that provides the design for drawloom lifts. We examined rare historic textiles in New Delhi’s National Museum, Ahmedabad’s Calico Museum of Textiles, Varanasi’s Bharat Kala Bhavan Museum, and private collections. In Jaipur, we visited the Indian Institute of Crafts and Design, Nila House, Anokhi Farm, City Palace Museum, and Prince Albert Hall Museum, and in Ahmedabad, the National Institute of Design and the Kasturbhai Lalbhai Indigo Museum. At Patola House in Patan, we observed the preparation and weaving of double ikat. Our diverse perspectives resulted in a most enjoyable interdisciplinary traveling seminar. Come with us as we share our adventure in collaborative textile research. Themes of inquiry:• Understanding the naqsha harness for the Indian drawloom • Examining relations between textiles and architecture • Using symmetry analysis to recognize pattern repeats • Considering fashion in India, an evolving tradition • Learning about the revival of natural indigo in India • Observing craft traditions preserved through development and sustainability Our team: • Annin Barrett—textile artist and designer; instructor, fashion history and sustainable design • Carol Bier—curator, The Textile Museum (1984-2001); research associate (2001-2020); research scholar, Center for Islamic Studies, Graduate Theological Union • Anna Jolly—curator of textiles 1500-1800, Abegg-Stiftung, Riggisberg, Switzerland • Louise Mackie—curator emerita, Textiles & Islamic Art, the Cleveland Museum of Art, Royal Ontario Museum, and The Textile Museum • Barbara Setsu Pickett—associate professor emerita, Department of Art, University of Oregon

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.906
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.022
GPT teacher head0.225
Teacher spread0.204 · 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.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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