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Record W6888553685 · doi:10.20381/ruor-30116

The First Ones Back: Actor Testimony and the ‘Show Must Go On’ Ethos at the Stratford Festival of Canada in 2021

2024· article· en· W6888553685 on OpenAlexaboutno aff

Bibliographic record

VenueuO Research (University of Ottawa) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsEthosConversationScholarshipDreamOrder (exchange)DistancingAdventure

Abstract

fetched live from OpenAlex

This thesis looks at Shakespearean performance at the Stratford Festival of Canada during its 2021 outdoor ‘pandemic’ season. It argues that the dominant pre-pandemic ‘show must go on’ ethos, that puts institutional well-being ahead of actor well-being, persisted during the pandemic season, even as the Festival implemented painstaking anti-racist and anti-oppressive initiatives. Alongside this argument, the thesis interrogates the ethics around the use of actor testimony in scholarship and attempts to ethically expand its focus from pure Shakespearean performance to include actor statements on institutional practices and policy. Extensive interviews with the 2021 casts of A Midsummer Night’s Dream and R+J are, to this end, at the heart of the study. The paper follows Bridget Escolme’s instruction to use actor testimony dialogically and places these interviews in conversation with contemporary Shakespearean performance theory around labour, disability, diversity, pandemic Shakespeare, the nature of the ‘Shakespearean actor’ in Western culture, and, most importantly, with actor testimony from other sources and the auto-ethnography of the author, a Stratford actor himself. Concentrating on testimony around Zoom, masking, and social distancing during the rehearsal process, the thesis reveals the emotional, physical and financial difficulties the actors took on in order for the show to go on at the Stratford Festival during the Covid-19 pandemic.

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 categoriesInsufficient 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 score0.809
Threshold uncertainty score0.999

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.057
GPT teacher head0.259
Teacher spread0.202 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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