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Record W4200157703 · doi:10.1017/s1355771821000479

<i>instance</i>: Soma-based multi-user interaction design for the telematic sonic arts

2021· article· en· W4200157703 on OpenAlexafffundabout
Lucy Strauss, Kıvanç Tatar, Sumalgy Nuro

Bibliographic record

VenueOrganised Sound · 2021
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsUniversity of British Columbia
FundersErnest Oppenheimer Memorial TrustUniversity of Cape TownSocial Sciences and Humanities Research Council of CanadaUniversity of British Columbia
KeywordsDanceComputer scienceEmbodied cognitionThe artsSomaHuman–computer interactionTelematicsVisual artsPerforming artsChoreographyMultimediaArtArtificial intelligencePsychology

Abstract

fetched live from OpenAlex

The telematic work instance is a performance for viola and dance that digitally connects performers in Vancouver and Cape Town. The network interface enables a violist and a dancer to simultaneously play multi-user digital music-dance instruments over the internet with music and dance. The composition, design and performance interaction of instance draw from acoustic multi-user instrument paradigms and music-dance interactions in the African performing arts to explore the idiosyncrasies of the telematic performance space. The iterative design process implements soma-based research methods to inspire sonic compositional material with the body and to explore the performers’ embodied experience of sonic aesthetics during their interaction.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.854
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.049
GPT teacher head0.278
Teacher spread0.229 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2021
Admission routes3
Has abstractyes

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