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Record W4237873927 · doi:10.1111/jaac.12638

Issue Information

2019· paratext· en· W4237873927 on OpenAlexafffund
Susan L. Feagin, David R. Davies, Julie Van Camp, María José Alcaráz León, Keren Gorodeisky, Theodore Gracyk, Matthew Strohl, Fred Moten, Paul C. Taylor

Bibliographic record

VenueJournal of Aesthetics and Art Criticism · 2019
Typeparatext
Languageen
FieldComputer Science
TopicEducational Robotics and Engineering
Canadian institutionsMcGill University
FundersBard CollegeFlorida Atlantic UniversityMcGill UniversityUppsala UniversitetUniversidad del AtlánticoUniversity of CincinnatiCollege of CharlestonCentral Michigan UniversityState University of New YorkUniversity at BuffaloUniversity of OklahomaNorthwestern UniversityBrown University
KeywordsComputer science

Abstract

fetched live from OpenAlex

cultural history, art criticism, and education. The arts are understood broadly to include not only traditional forms such as music, literature, theater, painting, architecture, sculpture, and dance, but also more recent additions such as film, photography, earthworks, and performance art, as well as the crafts, decorative arts, digital production, and various aspects of popular culture.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.073
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0020.001
Scholarly communication0.0100.006
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.9270.840

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 head0.008
GPT teacher head0.241
Teacher spread0.234 · 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; the direct Gemma label and the distilled Codex classifier 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
Published2019
Admission routes2
Has abstractyes

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