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Record W3009342763 · doi:10.18432/ari29529

Review of Art as Social Action: An introduction to the principles and practices of teaching social practice art

2020· article· en· W3009342763 on OpenAlexvenueno aff
Lynn Sanders‐Bustle

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsAction (physics)ConversationSociologyContext (archaeology)SalientSocial justiceQualitative researchPedagogyAction researchEngineering ethicsPsychologySocial sciencePolitical scienceEngineeringHistoryLaw

Abstract

fetched live from OpenAlex

In this contribution, the author reviews the book, Art as Social Action: An Introduction to the Principles and Practices of Teaching Social Practice Art. Acknowledging the timely nature of this anthology of essays, interviews, and lesson plans, the reviewer strongly recommends the book for teachers of contemporary art. In the review, the author opens with personal context for the review, a brief overview of contents and a description of the editors’ professional backgrounds. Interested in the usefulness of lesson plans for teachers, the reviewer analyzes the over 43 lesson plans and identifies three themes around which to provide a summary. Salient information is also extracted from essays and interviews. The author concludes by commenting more broadly on contributions and challenges associated with this anthology, troubling the use of the term “lesson plan” to describe social practice and calling for widening the conversation to include art educators and qualitative/post-qualitative researchers whose work focuses on social justice pedagogies.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.273
GPT teacher head0.490
Teacher spread0.217 · 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
Published2020
Admission routes1
Has abstractyes

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