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Record W7096852218

Negotiating the Location of Art Education

2007· article· en· W7096852218 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsEnculturationNegotiationGeopoliticsCurriculumVisual arts educationBureaucracyMondrianNeoliberalism (international relations)Culturalism
DOInot available

Abstract

fetched live from OpenAlex

This article seeks to articulate developing trends in art education and practice, locating such movements within the broader cultural contexts of globalization, neoliberal capitalism, and postmodernity. Against this more general synopsis, the autobiographical position of the author as a student and teacher of art will be elucidated as inextricably entwined with such cultural movements. This entwinement will be understood both in terms of its capacity to ‘position ’ the subject, and yet concomitantly as a site of disavowal, refusal, and subjective agency. In this manner, the personal commitment of the author to art education will be developed in a way to implicate early school and familial experiences with art. Such early autobiographical experiences arguably form the coordinates of our identities as art educators, and similarly, constitute the key issues with which we must necessarily grapple in pedagogical practice. It is in negotiation with such issues and early enculturation that this article argues our relationship to art curriculum and practice is located. Preamble Revised in 1985, the Alberta Art curriculum emerged in a turbulent time punctuated by the ultra conservative tone of American Reaganomics and the lingering ideological, economic and geopolitical anxieties of the Cold War. As the atmosphere of many schools veered toward competitiveness and standardized achievement as a measure of ranking ‘cultural capital ’ on an international stage, many national art education

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.894
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)0.0010.000

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 head0.026
GPT teacher head0.264
Teacher spread0.238 · 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
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
Published2007
Admission routes1
Has abstractyes

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