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Record W4308999691 · doi:10.1177/02557614221136280

Perceptions of improvements in piano performance following a Body Mapping workshop

2022· article· en· W4308999691 on OpenAlex
Teri Slade, Gilles Comeau, Donald Russell

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

VenueInternational Journal of Music Education · 2022
Typearticle
Languageen
FieldMedicine
TopicMusicians’ Health and Performance
Canadian institutionsCarleton UniversityUniversity of OttawaUniversity of Alberta
Fundersnot available
KeywordsPianoPsychologyPerceptionMovement (music)MusicalCLIPSTest (biology)Quality (philosophy)Cognitive psychologyMultimediaComputer scienceVisual artsArtificial intelligence

Abstract

fetched live from OpenAlex

It is becoming increasingly popular for musicians to study Body Mapping, a method of body movement education, to improve both body movement and musical quality. In Body Mapping workshops, observers frequently claim that they can both see and hear improvements in the performance, yet previous research does not support this anecdotal evidence. In the present study, pianists received a full day Body Mapping workshop and a panel of judges, blind to condition, evaluated audio and silent video clips of performances recorded the day before and the day after the workshop. In Experiment 1, judges were able to identify the post-test recordings by silent video at a rate significantly better than chance, but not with audio alone. In Experiment 2, ratings of quality of body movement were significantly higher for post-test silent video recordings, but no such effect was observed with audio alone. The present findings suggest that there are visible but not audible changes to the pianists’ performance. We discuss visual dominance as a possible explanation for these findings.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.788

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.340
Teacher spread0.314 · 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