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Record W7017181455

Alfred University alumnus exhibiting work at Greenwich House Pottery, March 21, 2018

2018· other· en· W7017181455 on OpenAlexaboutno aff

Bibliographic record

VenueAlfred University Research and Archives (AURA) (Alfred University) · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGlazePotterySculptureGreenwichPolychromeThe artsFine artWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Bare&s sculptures are a critique on the wastefulness of American consumerism.He collects unwanted pottery from thrift stores, landfills and abandoned kiln sites and assembles them into stacks that often seem posed on the brink of collapse.Highlighting the uniformity of mass produced goods, Bare stacks similar items together making it seem as though they are replicating of their own accord.Other forms are more organic, resembling marine landscapes or waves of discarded consumer goods poised to overwhelm the viewer.He creates his sculptures by stacking the mugs, plates and bowls in a saggar container inside the kiln, often securing precarious forms with nichrome wire.He drips casting slip and glazes overtop, squirting or "glopping" glazes by hand, spatula or glaze bulb a tool similar to a turkey baster.This added glaze and the liquid clay work in tandem with the glaze on the collected pottery to fuse it into a finished sculpture.Bare&s practice in clay and professional experience includes international and national artist residencies at acclaimed programs in China, Japan, Canada and the United States.His ceramic work is featured in Glaze: The Ultimate Collection of Ceramic Glazes and How They Were Made (2014), as well as 500 Ceramic Sculptures (2009), 500 Teapots Part I & II (2002; 2013).He exhibits and presents public lectures about his work at Beijing Fine Art Academy in China, the Michigan Ceramic Art Association, the National Council for Education in the Ceramic Arts (NCECA) conferences and many universities and art centers in the US and abroad.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0150.009
Science and technology studies0.0050.010
Scholarly communication0.0000.001
Open science0.0060.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.005

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 head0.034
GPT teacher head0.240
Teacher spread0.206 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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