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Record W7032306284

Satin Route

2004· other· en· W7032306284 on OpenAlexaboutno aff

Bibliographic record

VenueHuddersfield Research Portal (University of Huddersfield) · 2004
Typeother
Languageen
FieldPsychology
TopicVisual and Cognitive Learning Processes
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionNational museumTextileCultural exchange
DOInot available

Abstract

fetched live from OpenAlex

A neglected sheet of metal found in the bamboo forests of Nishi Otsu in Japan became the site of an artwork ‘Satin Route’. The patient and gentle scratching into its matt surface patina with a tapestry needle was to discover a soothing accumulation of shinning marks, taking it deeper into a treasured object, akin to a shimmering bolt of satin: the reward of a simple process of repetition. ‘Satin Route’ was part of a larger body of work created during the Though the Surface project, presenting me with the opportunity to work in Nishi Otsu in Japan for three months alongside the established textile artist Teruyoshi Yoshida. It was both an innovative and collaborative process of exchange of ideas, techniques and cultural experiences using textiles as the main medium of expression that we perceived on many different conceptual and contextual levels. Effervescent Trail was exhibited as part of the Through the Surface international touring exhibition with venues including The James Hockey Galleries, The Surrey Institute of Art & Design University College, Farnham January 27 – March 20 2004. Tour: Hove Museum and Art Gallery, January 31 – 21 March 2004; Sainsbury Centre for Visual Arts, University of East Anglia, Norwich, April 06 – May 16 2004; Piece Hall Art Gallery, Halifax June 26 – August 30 2004; Nottingham Castle, Nottingham September 26 – November 11 2004; The National Museum of Modern Art, Kyoto, Japan 2005.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.643
Threshold uncertainty score0.510

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.6430.329

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 head0.101
GPT teacher head0.394
Teacher spread0.293 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2004
Admission routes1
Has abstractyes

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