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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 OpenAlex

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

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.

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 score0.691
Threshold uncertainty score0.235

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.027
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