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Record W4307040875 · doi:10.1162/leon_a_02307

The AI Laocoön: Art and the Artificial Imagination, or Survival Aesthetics in the Anthropocene

2022· article· en· W4307040875 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

VenueLeonardo · 2022
Typearticle
Languageen
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsAnthropoceneArtificialityDystopiaPoeticsAestheticsSublimePosthumanVirtuality (gaming)UtopiaArtPhilosophyLiteratureArt historyEpistemologyEnvironmental ethicsArtificial intelligenceComputer sciencePoetry

Abstract

fetched live from OpenAlex

Abstract The art-as-research described in this article—a project named The Drowned World, after J.G. Ballard’s dystopian novel of the same name—is a reflection on environmental collapse and its technical representation in the Anthropocene. Is imagination being subsumed by the artificial? Are the sociotechnic hyperobjects of artificial intelligence and global warming chimera of the imagination, or are they certainties emergent from a desire for virtuality? In The Drowned World project, the author proposes to employ text-driven image synthesis as an aesthetic apparatus obscuring the distinction between imagination (potentiality) and virtuality (artificiality) to offer a computational poetics of a world drowning in data, an imaginative ecology of the virtual sublime.

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)0.001
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.773

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.282
Teacher spread0.267 · 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