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Record W7012894721

Drip and Dip

2018· article· en· W7012894721 on OpenAlexaboutno aff

Bibliographic record

VenueUND Scholarly Commons (University of North Dakota) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Technology, and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsPrintmakingNatural (archaeology)Simple (philosophy)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

Student composed text panel:\nE.J. Howorth (Canadian, b. 1943)Drip and Dip, 2013ScreenprintUND Art Collections: Art & Design Study CollectionOil/Water Exchange Portfolio\nE.J. “Ted” Howorth is a Canadian-born artist, who is currently employed by the University of Manitoba, where he graduated in 1969. In 1995, he was appointed to the Royal Canadian Academy of Arts. Howorth now lectures full-time in printmaking and drawing.\nHoworth explained that when creating this print, he was focused on natural disasters caused by man. The result was a piece that brought light to the issue and served as an escape: the hot water brings out the oils in coffee that give it flavor. To the viewer, this artwork might symbolize the escape that a simple coffee break can provide.\nArtist Statement:\n"When making this print, I had a couple of ideas in mind. On my initial research, I kept relating to all the natural disasters caused by man and so in the end of I tried to escape all of that and find a more positive note in the bringing together of these two materials. So my "oil & water" mix is the wonderful flavor of oils from roasted coffee beans when released by boiling water.\nThis print was a also a chance to try and work directly on the screen simulating light reflecting on water by simple reduction technique."

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.718
Threshold uncertainty score0.923

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 studies0.0010.001
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 head0.026
GPT teacher head0.203
Teacher spread0.177 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2018
Admission routes1
Has abstractyes

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