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Record W2401512494 · doi:10.14236/ewic/eva2013.22

FiddleLights: Kinetic Signatures of the Bow Hand- Visualising Fiddle Tunes and Contemporary Violin Performance

2013· article· en· W2401512494 on OpenAlex
Elisa Sereno-Janz

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

VenueElectronic workshops in computing · 2013
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsAlberta College of Art + Design
Fundersnot available
KeywordsViolinMusicalCompositingKinetic energyComputer scienceMusical instrumentSpecial effectsComputer graphics (images)ArtVisual artsAcousticsPhysicsArtificial intelligence

Abstract

fetched live from OpenAlex

FiddleLights is a body of practice-based research exploring the kinetic signatures of fiddle tunes in relation to the sound produced by the bow on the fiddle. Experimenting with photography, video, and computer enhanced compositing, FiddleLights creates light-based visualisations of movement and technique captured from the bow-hand of individual fiddlers, resulting in kinetic signatures of individual tunes, and kinetic portraits of the fiddlers, themselves. This technique is then used to inform musical compositions to create improvised musical performances of light and sound.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.011
GPT teacher head0.227
Teacher spread0.216 · 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