MétaCan
Menu
Back to cohort
Record W7059647650

Curricular

2012· other· en· W7059647650 on OpenAlexaboutno aff

Bibliographic record

VenueGothenburg University Publications Electronic Archive (Gothenburg University) · 2012
Typeother
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsClass (philosophy)George (robot)Nova scotiaPerformance artPaintingArt and design
DOInot available

Abstract

fetched live from OpenAlex

Video Documentaries of Radical Art Educators and Radical Moments within Art Education:\n\nContributors:\nRedmond Entwhistle (UK/USA), Baylis Glascock (USA), Patricia Holland (UK), Ron Mann (Canada), Cathryn Davis Zommer and Neeley House (USA).\n\n\nLesson Plans: \n\nWhilst teaching at the Nova Scotia College of Art and Design (Canada), artist David Askevold invited almost exclusively Conceptual Art practitioners to provide instructions for classes, which came to be known as The Projects Class (1969-72). \n\nExhibited:\n\nRobert Barry, Mel Bochner, James Lee Byars, Jan Dibbets, Dan Graham, Douglas Huebler, Sol Lewitt, Lucy R. Lippard, N.E. Thing Co. Ltd, Robert Smithson & Lawrence Weiner.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.719
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.000
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.7190.610

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 head0.004
GPT teacher head0.159
Teacher spread0.155 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueGothenburg University Publications Electronic Archive (Gothenburg University)Same topicMagnetic Field Sensors TechniquesFrench-language works237,207