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Record W2890358171 · doi:10.18432/ari29384

Bringing the Arts to the Everyday Lived Experiences of Young Children

2018· article· en· W2890358171 on OpenAlexaffvenueabout
Marni Binder

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsThe artsContext (archaeology)Embodied cognitionIdentity (music)SociologyVisual arts educationVisual artsPerceptionEveryday lifeArts in educationPerforming arts educationAestheticsPedagogyPsychologyArtHistoryEpistemology

Abstract

fetched live from OpenAlex

The purpose of this arts-based education research was to explore the complex art forms in Bali, Indonesia, for a cross-cultural understanding of the everyday importance of the arts in the teaching and learning of young children. Five Balinese artists and one Javanese artist were interviewed to discuss their journeys as artists from a young age, their practicing art forms, and perceptions of the importance of the arts in their communities, cultural identity, and in the everyday lived experiences of children. While there is literature on the historical and complex art forms of Bali, giving context to the importance of time and place and hierarchies of the culture, little is documented on the interconnection between the arts as a paradigm that shapes culture and informs an understanding of the arts as important to teaching and learning. This research experience aimed to deepen the researcher’s understanding of how the arts are embodied and woven together in Balinese culture, and how this knowledge can be connected to the teaching and learning of children in the Canadian context.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0100.016
Scholarly communication0.0110.005
Open science0.0010.010
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.092
GPT teacher head0.375
Teacher spread0.283 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2018
Admission routes3
Has abstractyes

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