MétaCan
Menu
Back to cohort
Record W3161077768 · doi:10.1145/3212721.3212807

Posthuman Gesture

2018· article· en· W3161077768 on OpenAlexafffund
Ian Jarvis, Doug Van Nort

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsYork University
FundersCanada Research Chairs
KeywordsPosthumanGesturePerformativityContext (archaeology)Agency (philosophy)Computer sciencePosthumanismHuman–computer interactionEmbodied cognitionAestheticsCognitive scienceSociologyArtEpistemologyArtificial intelligencePsychologyPhilosophyHistorySocial science

Abstract

fetched live from OpenAlex

This paper proposes the notion of posthuman gesture as a conceptual framework for approaching the increasingly complex notions of agency within digital instrumental system design and performance. Posthuman gesture is a synthesis of Barad's notion of posthuman performativity and current research of gesture in musical and digital instrument design contexts. An overview is provided of an approach to instrumental system design that took place in the context of a larger interactive dance work, followed by a discussion that applies the posthuman gesture framework to this example project.

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)0.002
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 score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.013
Scholarly communication0.0060.006
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0240.003

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 head0.012
GPT teacher head0.238
Teacher spread0.225 · 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

Citations3
Published2018
Admission routes2
Has abstractyes

Explore more

Same topicMusic Technology and Sound StudiesFrench-language works237,207