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Record W2158266644 · doi:10.1162/leon_a_01069

Art Curriculum in Partnership with Canadian Physics Lab

2015· article· en· W2158266644 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLeonardo · 2015
Typearticle
Languageen
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsEmily Carr University of Art and Design
Fundersnot available
KeywordsStudioGeneral partnershipCurriculumCarrTheme (computing)Class (philosophy)Plan (archaeology)Mathematics educationWork (physics)Physics educationSociologyVisual artsEngineeringPedagogyArtComputer sciencePolitical sciencePsychologyMechanical engineeringArtificial intelligenceGeography

Abstract

fetched live from OpenAlex

When art students at Emily Carr University take a hybrid humanities/studio class with a scientific theme, they are challenged to materially transform abstract concepts. Students interact with physicists and make work on site at TRIUMF, Canada’s National Laboratory for Particle and Nuclear Physics. Strategies for art and science partnership models are tested in a curricular Transformation Art Lab as well as the RAW DATA project, where students view studio faculty struggling with similar challenges.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.005

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 head0.096
GPT teacher head0.367
Teacher spread0.271 · 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