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Record W4392568165 · doi:10.1386/scene_00060_1

Automatic Corporeal Gesture in a Flash: A performative theory of process

2023· article· en· W4392568165 on OpenAlexaff
Milosh Rodic

Bibliographic record

VenueScene · 2023
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Philosophy
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsPerformative utteranceGestureFlash (photography)Process (computing)Computer scienceArtAestheticsComputer graphics (images)Human–computer interactionVisual artsArtificial intelligenceProgramming language

Abstract

fetched live from OpenAlex

My artistic practice and research explore automatic processes used throughout time that develop conceptual and physical aptitude in the performer; to transcend the status quo and experience alternative versions of embodied reality. In homage to Elvis Presley and the spirit of Rock and Roll, I define automatism as a process formulated as Automatic Corporeal Gesture in a Flash (ACG ) where I work to make art without fear from an inspirational sensation in my body. ACG is inspired, authentic action that I do in a creative act through some kind of plan or set of parameters to get a material result; it is automatic action through diffraction in an apparatus, to produce material with qualitative data that can be considered for its meaning after the performance. Like having a conversation with someone, this approach helps me to understand things as they are, learning about their qualities. In ACG I combine my vibration with the vibration of what inspires me. It is a relational act of co-agential meaning making. It is a performance process that uses perception and action intrepidly while in an apparatus to maintain corporeal balance, integrity and momentum during an event. Practising ACG changes qualities in material, which changes the way meaning is made from it. These changes are always particular to each event. Our senses are physical and extra-sensory. My imagination contains qualitative, empirical data. I am using my corporeal senses to perceive my imagination’s inspiration, as I would also use my other senses and their correlating extra-sensory capabilities to perceive the material world around me. The meditative groove of my ACG is a trance dance. Trance is maintaining the entrainment of one’s body to a frequency which focuses perceptive consciousness. How a piece is created carries discursive information. Qualities of the movement of the body and the marks it makes speaks about our corporeal condition as well as speaking of its perception of qualities through/of itself and its local and extra-local environments. I use ACG to learn about the qualities that experience has had in my body, and this knowledge increases my ability to be more responsible and accountable as a receiver and transmitter of discourse, which is the function of my relationality. ACG helps me to access my full body, and it allows me to coordinate and integrate all my other senses and their correlating extra aspects into my creative action. ACG is what keeps sparking the dynamic process in which I realize my creative potential, and where I can expand my abilities to perceive more of the qualities of life.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.021
GPT teacher head0.254
Teacher spread0.233 · 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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