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Record W4382699089 · doi:10.3390/arts12040133

Video between Architecture and Telepathy

2023· article· en· W4382699089 on OpenAlexaff
Nicolas Holt

Bibliographic record

VenueArts · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicCybernetics and Technology in Society
Canadian institutionsMcGill University
Fundersnot available
KeywordsTelepathyMaterialismImpossibilitySpace (punctuation)MythologySensibilityArchitectureArtAestheticsPhilosophyLiteratureArt historyEpistemologyVisual artsLaw

Abstract

fetched live from OpenAlex

On 6 January 1973, Chilean media artist Juan Downey exhibited Plato Now at the Everson Museum of Art in Syracuse, New York. A hybrid multichannel video installation and performance, this was Downey’s restaging of Plato’s Parable of the Cave—the “Now” registering what the myth might look like from the vantage of his own historical moment. And whereas Plato’s original operated through an inflexible division between the space of the mind and a derivative sensual reality, Plato Now explicitly sought to blur those philosophical lines by assembling a relay of invisible energies, brain waves, video signals, and telepathic communications, such that the space of mind and sensual reality became speculatively entangled. This article clarifies just how Plato Now did this, and situates its philosophical vision as a significant, if relatively unremarked, aesthetic prefiguration of the new materialist tendencies towards relationality, hybrid assemblages, and vibrant conceptions of energy and matter.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.001

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 head0.031
GPT teacher head0.231
Teacher spread0.199 · 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
GenreOther

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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