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Record W7041282306

Lace Effects 1

2013· other· en· W7041282306 on OpenAlexaboutno aff

Bibliographic record

VenueUCA Research Online (University for the Creative Arts) · 2013
Typeother
Languageen
FieldMaterials Science
TopicPickering emulsions and particle stabilization
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101Gestational periodLiquationDiafiltrationArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

From 6 October 2013 to 18 May 2014, the International Centre of Lace and Fashion in Calais showcased contemporary textiles through the exhibition Lace Effects 1. This is one of the actions of the European Crysalis project, which was selected as part of the European cross-border cooperation programme INTERREG IVa 2 Seas, co-funded by the ERDF. Grouped together under the title Moving Textiles, the Crysalis exhibition series links both the notions of expertise and technical proficiency to textile innovation. Lace Effects 1 thus presents textile, fashion and design works inspired by the lace theme. \n \nI showed a piece of work inspired by the Lace Collection at the International Centre of Lace and Fashion. I have also been granted permission by the Art Gallery of Ontario to use the photograph 'Lodz ghetto 1941-1944' taken by Henryk Ross for this work. \n \nThe museum has a working lace loom demonstrating the traditional industrial lace making skills. The machinery is lubricated with graphite, not oil; when the full factory was running there must have been a large amount of graphite dust in the air at all times. I played around with the idea of this graphite dust settling onto discarded clothing.

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)0.002
metaresearch head score (Gemma)0.002
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.342
Threshold uncertainty score0.938

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0050.002
Scholarly communication0.0080.002
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3420.079

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 head0.086
GPT teacher head0.361
Teacher spread0.274 · 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 designBench or experimental
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
Published2013
Admission routes1
Has abstractyes

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