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Record W3016041563 · doi:10.1386/public_00015_7

Animating the Kinetic Trace: Kate Bush, Hatsune Miku, and Posthuman Dance

2020· article· en· W3016041563 on OpenAlexaff
Hilary Bergen

Bibliographic record

VenuePublic · 2020
Typearticle
Languageen
FieldEngineering
TopicHuman Motion and Animation
Canadian institutionsConcordia University
Fundersnot available
KeywordsDanceChoreographyPosthumanTRACE (psycholinguistics)AnimationArtComputer scienceVisual artsAestheticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract This project emerges from a recent research-creation project involving MikuMikuDance (MMD), a freeware animation program where 3D models can be maneuvered, posed and choreographed into various dance sequences through the use of motion data and digital manipulation. In a dance translation that involves the choreography for Kate Bush’s song, “Wuthering Heights,” a Microsoft Kinect, and the freeware interface MikuMikuDance, created for Japanese virtual idol, Hatsune Miku, dance is revealed to be both rooted in the body and distributed across collective bodies and screens. By relinquishing biometric control, and allowing data to “dance,” this project eschews mimetic realism for an attempt to learn the machine’s “truth,” and proposes failure as a mode of resistance to systems of control, making way for an assemblage of relational bodies that dance within and through one another.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.007
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.027
GPT teacher head0.197
Teacher spread0.170 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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