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Record W4405050276 · doi:10.54481/intertext.2024.1.17

Questioning Representations Relating to the Visual Arts in School to Update Teacher Training

2024· article· en· W4405050276 on OpenAlexaboutno aff
Maia Morel

Bibliographic record

VenueIntertext · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsTraining (meteorology)Mathematics educationPsychologyPedagogyThe artsVisual artsArtGeography

Abstract

fetched live from OpenAlex

Our research evaluates the results of a long reflection on teachers training in visual arts in primary schools of Quebec. This exploratory study of a qualitative type analyzes the representations of future teachers as to the role of arts in school (dominance of “traditional” criteria in art, “free expression” and “production of items” as main goals of arts education at school). The results highlight the urgency of improving the initial training of the teachers in the field of artistic education. This involves integrating three essential dimensions linked to the findings of current research in artistic education, into the student curriculum, namely: the disciplinary dimension (arts skills to be taught/learned), the integrative dimension (educating through art), and the cultural dimension (training of people who transmit culture through art). The conclusions underline, in a historical perspective on artistic education in Quebec, the need to critically review the effects of the old doxas in order to deconstruct possible obstacles to the updated understanding of the arts at school, and to give artistic education its full disciplinary, educational and cultural dimension.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.789
Threshold uncertainty score0.997

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)0.0050.004

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 head0.063
GPT teacher head0.351
Teacher spread0.288 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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