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Record W7031549239

Speech!

2022· other· en· W7031549239 on OpenAlexaboutno aff

Bibliographic record

VenueGoldsmiths (University of London) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionPoliticsPerformance artThe Symbolic
DOInot available

Abstract

fetched live from OpenAlex

Speech! is a script for a single actor delivered live before an audience. It explores the language of symbolic oratory by fusing highly stylised forms of address - political speeches, apologies, ceremonial toasts – into a single form. Speech! was first performed by Colleen Wheeler in a solo exhibition at Catriona Jeffries Gallery, Vancouver 2022. It was performed weekly over a six-week period. Speech! was performed 3x week by Rory Kinnear in a solo exhibition at greengrassi London, 2023. It was performed once at Convent of St. Agnes, Prague as part of Ora et lege II at National Gallery Prague, 2024. Speech! is part of a series of three performance works entitled Speech! Fight! Smile! Speech! was later developed into Rant (2025), a series of large-scale public print works. Links https://catrionajeffries.com/artists/janice-kerbel/works https://www.greengrassi.com/shows/janice-kerbel-2023/ https://www.theartnewspaper.com/2022/06/23/janice-kerbel-performance-catriona-jeffries Michael Newman, ‘Deliveries: Moyra Davey’s aerograms and Janice Kerbel’s performances’, Enclave Review, Issue 18, Summer 2024

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.290
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.3050.015

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 head0.008
GPT teacher head0.185
Teacher spread0.177 · 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; both teacher heads agree on what is shown here.

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
Published2022
Admission routes1
Has abstractyes

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