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Record W2115316264 · doi:10.1017/s0266464x10000059

Hearing Hope: Metatheatrical Utopias in the ‘Staging’ of Radio Drama

2010· article· en· W2115316264 on OpenAlexaboutno aff
Jenn Stephenson

Bibliographic record

VenueNew Theatre Quarterly · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDramaBannerComedyPerformance artArtQueen (butterfly)CriticismPerformance studiesGermanTheatre directorMedia studiesArt historyVisual artsLiteratureHistorySociology

Abstract

fetched live from OpenAlex

The radio play has long survived the competition from television in Britain, and also has a long tradition in the German-speaking world in the form of the Hörspiel – but its strength has lain precisely in demanding a visual contribution from the listener's imagination. What happens when a radio play is ‘staged’ before a live audience? In 2005, under commission from the Royal Festival Hall, the composer Carter Burwell proposed writing a sound score for new plays; and under the banner of Theatre of the New Ear, he recruited his long-time collaborators on film, Charlie Kaufman and Joel and Ethan Coen, to write specifically for sound-only. In this article Jenn Stephenson describes the experience of ‘watching’ a radio play, and offers a theorization of its qualities and the effects on its audience. Jenn Stephenson received her PhD from the University of Toronto in 2003 and is now Associate Professor of Drama at Queen's University in Kingston, Canada. Her recent publications include articles in Theatre Journal, Journal of Dramatic Theory and Criticism, Studies in Theatre and Performance, and Theatre Research in Canada. She is co-editor of the ‘Views and Reviews’ section of Canadian Theatre Review.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.023
Scholarly communication0.0090.006
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.240
Teacher spread0.219 · 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 designTheoretical or conceptual
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
Published2010
Admission routes1
Has abstractyes

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