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Record W4311809443 · doi:10.1093/jaac/kpac055

Rethinking Veridicality: Motor Response, Empirical Evidence, and Dance Appreciation

2022· article· en· W4311809443 on OpenAlexaff
Ian Heckman

Bibliographic record

VenueJournal of Aesthetics and Art Criticism · 2022
Typearticle
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDancePsychologyFeelingPerceptionFlexibility (engineering)Cognitive psychologyMotor learningCognitionMovement (music)Social psychologyAestheticsPhilosophyNeuroscienceArtVisual arts

Abstract

fetched live from OpenAlex

Abstract Recent debates in the philosophy of dance have focused on the relationship between motor response and dance appreciation. Some philosophers argue that motor responses to dances are an important part of dance appreciation. Proponents of such a claim are often backed with support from cognitive science. But it has not remained uncontroversial. Despite its controversy, the concept of motor response remains under-analyzed. As a result, assumptions about the idea and purpose of motor response get borrowed from cognitive science. I argue that one such assumption, that motor response is supposed to be veridical, runs us into several problems. It runs us into something of a paradox, where it is claimed that motor responses happen as part of our general perception of movement. However, few people experience such responses. Furthermore, it seems that the motor responses that are appropriate for a dance might not be the ones the dancer is feeling. As a result, we should prefer an account of motor response that emphasizes its flexibility and its ability to change and adapt to the movement we see.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.108
GPT teacher head0.361
Teacher spread0.253 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2022
Admission routes1
Has abstractyes

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