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Soundscape Compositions for Art Classrooms

2016· article· en· W141421894 on OpenAlex
Ehsan Akbari

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArt Education · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsConcordia University
Fundersnot available
KeywordsVisual cultureVisual arts educationCurriculumPopular cultureVisual artsInclusion (mineral)SociologyThe InternetArtMedia studiesPedagogyAnthropologyThe arts

Abstract

fetched live from OpenAlex

In recent years, the inclusion of popular visual culture in art curricula has emerged as a focal point of investigation and discussion in art education. Its proponents sought to expand the content of study to include contemporary cultural forms such as television, magazines, and the Internet (Chalmers, 2005 Chalmers, G. (2005). Visual culture education in the 1960s. Art Education, 58(6), 6–12.[Taylor & Francis Online] , [Google Scholar]; Efland, 2004 Efland, A. (2004). The entwined nature of aesthetics: A discourse on visual culture. Studies in Art Education, 45(3), 234–251.[Taylor & Francis Online] , [Google Scholar]; Tavin & Anderson, 2003 Tavin, K., & Anderson, D. (2003). Teaching (popular) visual culture: Deconstructing Disney in the elementary art classroom. Art Education, 56(3), 21–24, 33–35.[Taylor & Francis Online] , [Google Scholar]).

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.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.464
Threshold uncertainty score0.996

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)0.0080.005

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 head0.267
Teacher spread0.241 · 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