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Orders of Experience

2018· book-chapter· en· W4246481122 on OpenAlexaff
Aaron Rambhajan

Bibliographic record

VenueAdvances in multimedia and interactive technologies book series · 2018
Typebook-chapter
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEpitomePanoramaAestheticsArtArt historyVisual artsLiterature

Abstract

fetched live from OpenAlex

Does art tend towards immersion? Positing James Turrell's Roden Crater (2015) as the modern epitome of the landscape art-object, the evolution of the medium is traced through prominent examples its transformations: Titian's Venus and the Organist with Dog (1550), De Loutherbourg's Eidophusikon (1781), and Barker's Panorama (1792). Discussion regarding Roden Crater's predecessors serve to illustrate distinct innovations that greatly influenced its construction of sensory experience, spanning the use of dialogue to the integration of physicality. This chronology is used to demonstrate an overarching tendency of media towards immersion, and to reflect how the development of contemporary culture evolves towards progressively psychological experiences.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.027
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.011
Scholarly communication0.0100.008
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0270.004

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 head0.017
GPT teacher head0.275
Teacher spread0.258 · 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
Published2018
Admission routes1
Has abstractyes

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