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Record W7031803749

Goodbye Charles

2017· other· en· W7031803749 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Repository (Kingston University London) · 2017
Typeother
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionPortraitThe artsGeorge (robot)HandicraftSculpture
DOInot available

Abstract

fetched live from OpenAlex

The Charles H. Scott Gallery is proud to present Goodbye Charles, an exhibition that celebrates Charles Hepburn Scott, an artist, educator and the gallery’s namesake, in commemoration of the latest chapter in their history. This exhibition offers a glimpse into Scott’s creative practice through the inclusion of his paintings, drawings, sketchbooks and writings. Contemporary artists that have exhibited at the Charles H. Scott Gallery have also been invited to respond to the occasion. A diverse list of artists have contributed portraits of Scott to a bookwork, and two additional projects will be situated within the gallery by London-based artist duo Cullinan Richards and Vancouver artist Ron Tran. For the Goodbye Charles exhibition Cullinan Richards and Ron Tran respond to the Beaux Arts Balls and the spirit of the Savary Island camps. Cullinan Richards have been shown in both group and solo exhibitions at the Charles H. Scott Gallery. Their installations explore painting, drawing, sculpture, theatricality and exhibition-making. Commonplace materials are employed in the production of their work, including plastic, cardboard, house paint and tape—standard materials used by artists in the making of their work rather than as the finished product.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.149
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
Bibliometrics0.0010.000
Science and technology studies0.0040.004
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.063
GPT teacher head0.274
Teacher spread0.211 · 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
Published2017
Admission routes1
Has abstractyes

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