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Dictation: A Canadian Perspective on the History of Telematic Art

2016· book-chapter· en· W4240576562 on OpenAlexaboutno aff
Hank Bull

Bibliographic record

VenueThe MIT Press eBooks · 2016
Typebook-chapter
Languageen
FieldArts and Humanities
TopicArt, Technology, and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionArtVisual artsVideo artActive listeningPerspective (graphical)Art historyDictationChinaPerformance artTelematicsTelecommunicationsHistoryEngineeringSociologyComputer scienceCommunicationArchaeology

Abstract

fetched live from OpenAlex

Canada, with its vast distances, was an early adopter of communications technologies. Starting in the 1970s, Canadian artists pursued the aesthetic strategies of correspondence art, video, telecommunications, and artist-run centers. Beginning with Bill Bartlett's Brechtian credo that real communication must be interactive, and noting Robert Filliou's influential concept of the “Eternal Network,” Hank Bull tells the story of a small group of artists who tested the potentials and implications of telecommunications art. He discusses radio, slowscan video, electronic mail and fax art, referring to specific projects produced for Ars Electronica (1983), Electra (Paris, 1983) and the Venice Biennale (1986). More recently, Shanghai Fax (1996), staged by Bull, with artists Shen Fan, Ding Yi, and Shi Yong, was one of the first international group exhibitions to take place in China since the revolution. In conclusion Bull emphasizes sympathetic listening in this new territory, where unfamiliar noises clash as new rhythms sound.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.718

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0220.026
Scholarly communication0.0110.004
Open science0.0020.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0210.002

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 head0.042
GPT teacher head0.204
Teacher spread0.161 · 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.

Study designQualitative
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
Published2016
Admission routes1
Has abstractyes

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