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Record W2049172992 · doi:10.1145/2030441.2030458

Performing Animator instrument for live media

2011· article· en· W2049172992 on OpenAlexaff
Aleksandra Dulic, Kenneth Newby

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCultural and Artistic Studies
Canadian institutionsUniversity of the Fraser ValleyUniversity of British Columbia
Fundersnot available
KeywordsImprovisationComputer scienceAnimationPerforming artsPerformative utteranceMultimediaHuman–computer interactionNarrativeMusical instrumentShadow (psychology)SituatedNew mediaExpression (computer science)Visual artsComputer graphics (images)ArtWorld Wide WebAestheticsArtificial intelligence

Abstract

fetched live from OpenAlex

In this paper we discuss the design of Performing Animator, an expressive instrument for live media, we developed in support of our situated interdisciplinary performance practice. The concept of a cinema of braided processes is introduced as a basic structure for media instrument design. This media performance instrument is described in terms of its conceptual, design and performative aspects. The Performing Animator Instrument is analogous to a musical instrument that enables generative animation, film editing and compositing, tailored for improvisational expression of projected visual media elements. Design of the instrument evolved based on eight years of development (2003-2011) initiated by a number of interdisciplinary and cross-cultural performance productions as well as inspirations drawn from our study of Balinese Shadow Play (Wayang Kulit). Our instrument presents the performer with a large set of techniques that enable flexible media manipulation and generation. The paper also addresses issues related to the tensions between narrative structure and perfomative expression, live and recorded media and the structuring of improvised media.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Software · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.173
GPT teacher head0.307
Teacher spread0.134 · 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 designNot applicable
Domainnot available
GenreSoftware

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

Citations0
Published2011
Admission routes1
Has abstractyes

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