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Record W4285385814 · doi:10.33178/alpha.23.03

Bill Viola’s figures of submersion as techniques of transindividual affect

2022· article· en· W4285385814 on OpenAlexaff
Elena del Río

Bibliographic record

VenueAlphaville Journal of Film and Screen Media · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophical and Theoretical Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsViolaIndividuationArtPortraitAutonomyAffect (linguistics)Formalism (music)AestheticsVisual artsPhilosophyArt historyPsychoanalysisPsychologyLinguistics

Abstract

fetched live from OpenAlex

This article seeks to establish a fundamental continuity between distinctive periods in Bill Viola’s work. Examining two relatively early works—The Reflecting Pool (1977–79) and The Passing (1991)—and the more recent piece Self Portrait, Submerged (2013), I consider the artist’s physical presence as a catalyst for an inherent continuity between early formalism and the intense affectivity of the later period. Affect and its transindividual energies were present in Viola even before they came to acquire a more explicit articulation in the 2000s and beyond. We see in Viola’s work a merging of artist and artwork which drastically departs from traditional notions of authorial autonomy and mediation, giving rise instead to an event of transindividual affect. I consider the merging of artist and artwork here in light of Gilbert Simondon’s philosophy of individuation, a process-oriented ontology remarkably resonant with Viola’s art. I rely on Simondon’s concepts of the technical object, the preindividual and the transindividual, to examine: first, Viola’s immanent, transductive relation to his medium as illustrated in The Reflecting Pool; second, the way in which the artist’s participatory witnessing of technological ontogenesis transmutes into a directly affective experience in The Passing; and finally, the confluent affectivity of artist and spectator in Self Portrait, Submerged.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.180
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0040.000

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 head0.020
GPT teacher head0.228
Teacher spread0.208 · 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.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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