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Record W3217028601 · doi:10.1016/j.yjoc.2021.100010

Embodied creativity in the fine and performing arts

2021· article· en· W3217028601 on OpenAlexaff
Anna Griffith

Bibliographic record

VenueJournal of Creativity · 2021
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsEmbodied cognitionCreativityThe artsVisual artsAestheticsArtComputer sciencePsychologyArtificial intelligenceSocial psychology

Abstract

fetched live from OpenAlex

Creativity studies has focused on creative thinking processes, problem-solving, and innovation, while the embodied dimensions of creativity have remained a tangential thread. In part, this is due to the challenge of running original, quantitative experiments in the embodied and performing arts. At a more paradigmatic level, it is also due to the valuing of cognition over embodiment that continues to structure academia and creativity studies. Not running counter to cognitive creativity, but interconnected with it, embodied creativity includes creative expressions and processes that emphasize or are generated by the physical body. It is a view of creativity that highlights physical responses within creative practice and is attentive to the influences of space, environment, materials, and the individual's relationships to other bodies. The fine and performing arts are exemplary places to study embodied creativity, and 4E cognition theory can assist in describing how and where embodied creativity exists. This article argues for embodied creativity as an important place of study that can move creativity studies toward decoloniality.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.021
Scholarly communication0.0070.004
Open science0.0010.005
Research integrity0.0010.002
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 head0.071
GPT teacher head0.394
Teacher spread0.322 · 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 designTheoretical or conceptual
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

Citations35
Published2021
Admission routes1
Has abstractyes

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