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Record W7155510704 · doi:10.59236/ijea2n9

Images for Understanding

2001· article· W7155510704 on OpenAlexaffabout
Kit Grauer, Rita Irwin, Alex De Cosson, Sylvia Wilson

Bibliographic record

VenueInternational journal of education and the arts · 2001
Typearticle
Language
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsThe artsVisual arts educationAction researchAction (physics)Teaching methodResearch methodologyArts in education

Abstract

fetched live from OpenAlex

In this paper we examine, in images and text, a case study of two artists and the teachers at an action research school involved in the Learning through the Arts program. We are guided by the following research question: What changes occur in the artists' and teachers' beliefs about learning and teaching as a result of this program? Emerging from the research are several themes under the umbrella of beliefs about teaching and learning: the role of the researchers and image based methodology in affecting beliefs; the role of the children's response in shaping beliefs; and integration in an arts infused curriculum. Given the rising interest in artist-in-residence programs across North America, and particularly the Learning through the Arts programs across Canada and internationally, this image based educational research contributes valuable insights into the beliefs, practices, and issues surrounding such programs.

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)0.005
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.072
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.010
Scholarly communication0.0080.012
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0720.013

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 head0.074
GPT teacher head0.337
Teacher spread0.263 · 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
Published2001
Admission routes2
Has abstractyes

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