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Record W2750389359 · doi:10.3138/tric.38.1.11

Ryga, Miss Donohue, and Me: Forty Years of <i>The Ecstasy of Rita</i> Joe in the University

2017· article· en· W2750389359 on OpenAlexvenueaboutno aff
Moira Day

Bibliographic record

VenueTheatre Research in Canada · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipEcstasyMeaning (existential)George (robot)CurriculumPedagogySociologyHistoryPsychologyMedia studiesVisual artsArtPolitical scienceArt historyLawPsychiatry

Abstract

fetched live from OpenAlex

While the seminal role that George Ryga’s 1967 classic, The Ecstasy of Rita Joe, played in igniting the modern Canadian theatre has often been acknowledged, the extent to which its success also constituted a concentrated attack on what Ryga termed the “complacent educator” in 1977, and helped revolutionize the publication and teaching of Canadian plays at the post-secondary level, may have been less well acknowledged. This article, which documents Moira Day’s own forty-year odyssey with the play in the (largely) prairie university classroom as both a student and an instructor, investigates the play’s initial impact on scholarship, publication, curriculum at the post-secondary leve , and some of its ramifications on school and university production and actor training over the 1970 and 1980s. It also deals with the challenges of continuing to teach and interpret the play from the 1990s onward, as new practices and theories have continued to alter its meaning, and considers why this odd, iconoclastic text, despite its flaws, continues to fascinate us fifty years after its initial production.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score0.335

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.063
GPT teacher head0.279
Teacher spread0.216 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2017
Admission routes2
Has abstractyes

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