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Record W2013881678 · doi:10.1353/shb.2010.0024

Realism and the Ethics of Risk at the Stratford Shakespeare Festival

2010· article· en· W2013881678 on OpenAlexaboutno aff
Kim Solga

Bibliographic record

VenueShakespeare bulletin · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsScholarshipFeudArtHistoryVisual artsAestheticsSociologyLawPolitical science

Abstract

fetched live from OpenAlex

In the summer of 2006, Canadian director Peter Hinton mounted Webster's <i>The Duchess of Malfi</i> at the Stratford Shakespeare Festival. During the Duchess's death scene spectators routinely walked out; it was rough, long, brutal, upsetting to watch, weirdly real. I saw Hinton's production live twice in the summer of 2006, and again on archive video in 2008. Every time the Duchess died I got the distinct impression that I was seeing something I was not really supposed to see, seeing what is not supposed to happen on a stage-and certainly not on a stage at the Stratford Shakespeare Festival, a large, not-for-profit organization that bills itself as North America's leading classical repertory company and the largest festival of its kind in the world. In this paper I am interested in what it means that such a moment as the Duchess' death can appear on a stage as notoriously conservative as Stratford's, and why a director as well known for challenging, boundary-breaking, "intellectual" theatre as Peter Hinton should work at the Festival and be so very welcomed when he does. More specifically, I am interested in why scholars, critics, and some audience members have often claimed that this place is unwilling and unable to take risks-to risk political productions; to risk more non-traditional casting; to risk performing Shakespeare and his contemporaries in non-traditional modes-and what these claims imply about the complex valences of the term "risk" at Stratford and in reviews and scholarship about Stratford performances.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.022
GPT teacher head0.239
Teacher spread0.217 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations5
Published2010
Admission routes1
Has abstractyes

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