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Record W7155044181 · doi:10.59236/ijea14n1

Commitments to a Community of Artistic Inquiry

2013· article· W7155044181 on OpenAlexaff
Peter Gouzouasis, Rita L. Irwin, Emily Miles, Alexandra Gordon

Bibliographic record

VenueInternational journal of education and the arts · 2013
Typearticle
Language
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSituatedVisual arts educationThe artsDiversity (politics)Teacher educationDisciplineMusic educationSituated learningEducational researchScholarship

Abstract

fetched live from OpenAlex

The purpose of this inquiry is to investigate how a/r/tography is uniquely situated to enact, develop, and problematize 'becoming pedagogical' in an arts-based cohort in a teacher education program. This particular study purposefully grapples with visual and performing arts, in an elementary teacher education program, as teacher candidates 'learn to learn' how to inquire through their disciplinary and interdisciplinary frames of mind. We take the position that arts-based research adds to the diversity and complexity inherent in understandings about education and pedagogy. This research was infused through principles of teaching, music and movement, and visual arts education classes at The University of British Columbia. To learn about adopting an a/r/tographic stance in their journeys of becoming teachers, teacher candidates were actively involved in arts-based research workshops, the development of an art exhibition, learning to infuse creative pedagogies across the curriculum, and sharing their arts-based research projects. Their art took the form of public performances with artistic (music, dance, drama, visual) representations of curriculum.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0030.000

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 head0.057
GPT teacher head0.339
Teacher spread0.281 · 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.

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
Published2013
Admission routes1
Has abstractyes

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