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Record W3024967620 · doi:10.7202/1067430ar

The Theatre of Photography

2019· article· en· W3024967620 on OpenAlexvenueno aff
Joel Anderson, Wiebke Leister

Bibliographic record

VenueSens public · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsLivenessPhotographyImpossibilityNaturalismOpposition (politics)EclecticismViewpointsAestheticsVisual artsArtPoint (geometry)SociologyHistoryEpistemologyComputer sciencePhilosophyPoliticsPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

Taking as a starting point the opposition of our title: this text, in the form of a duologue, is also a meeting between photography and theatre, a vantage point from which certain conceptual frameworks can be challenged and even collapsed. In the domain of theatre, one hears often of artifice, authenticity, likeness and liveness. Theatre, from the conceptualisation of naturalism in the nineteenth century to the challenges posed by performance art in the twentieth century, struggles with media (despite the eclecticism of its own technological apparatus), sometimes seeking distance from them. Photography studies, meanwhile, has often emphasised the possibility or impossibility of veracity, the truthfulness or deceptiveness of photographs, with performance seemingly offering one escape route… This duologue seeks only to cast light on certain crossings inside the theatre of photography, envisaging future dialogues between media and across disciplines.

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 score0.017
Threshold uncertainty score0.058

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 studies0.0050.013
Scholarly communication0.0080.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0170.002

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 head0.219
Teacher spread0.197 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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