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Record W3078823515

Rita McKeough : Works

2018· book· en· W3078823515 on OpenAlexaboutno aff
Anthea Black, Eli D. Campanaro, Elizabeth Diggon, Johanna Householder, Areum Kim, Cheryl L’Hirondelle, Deirdre Logue, Jude Major, Rita McKeough, Jeanne Randolph, Mary Katherine Scott, Diana Sherlock

Bibliographic record

VenueE-Artexte (Artexte) · 2018
Typebook
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsLamentVisual artsArtThe artsPerformance artComposition (language)Art historyHistoryLiterature
DOInot available

Abstract

fetched live from OpenAlex

"This critical monograph documents Rita McKeough’s collaborative artistic process and pedagogy from the late 1970s on; her interactions with visual and media arts communities in Halifax, Toronto, Vancouver, and Calgary, particularly alternative music and performance scenes; and the audio, installation and performance work that is her ongoing contribution to the contemporary Canadian art community. \n \nIncludes vinyl record with five audio works from installations and performances—Shiver (1995), Opponent and My Heart Beats too Fast from In bocca al lupo/ In the Mouth of the Wolf (1991), Lament from Dancing on a Plate (1991), Veins(2016) and one new composition, Ashes (2017). \n \nA limited number of the publications include an artist multiple by Rita McKeough that references The Lion’s Share (2012), an exhibition which incorporated kinetics, performance, and sound, and used a humorous and dream-like scenario to raise questions about the complexities of our relationship to eating animals." -- Publisher's website.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.166
Threshold uncertainty score0.557

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1660.070

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 head0.041
GPT teacher head0.267
Teacher spread0.226 · 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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