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Record W1549172764 · doi:10.3138/tric.35.2.151

The Professionalization of a Stage Naturalist, the Making of a Mythmaker: The Theatre Criticism of Urjo Kareda at the University of Toronto’s Varsity Newspaper

2014· article· en· W1549172764 on OpenAlexvenueaboutno aff
Robin C. Whittaker

Bibliographic record

VenueTheatre Research in Canada · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsCriticismNewspaperTheatre studiesProfessionalizationNaturalismRealismTheatre directorSociologyMedia studiesAestheticsDramaArtLiteratureSocial scienceEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

The theatre criticism of Urjo Kareda in the Toronto Star offers favoured primary source material for theatre historians evaluating the so-called “alternative theatre” movement in Toronto in the early 1970s. Indeed, it has been argued that theatre activity during these years constitutes a “movement” largely because of Kareda’s engaging writing at the time, which popularly labeled it as “movement” even as it emerged. However, Kareda’s equally engaging writing in the campus weekly newspaper the Varsity in the mid-1960s, while he was a student at the University of Toronto, has been left unexplored. This essay argues that Kareda’s themes, styles, and opinions in that student publication reveal much about the development of his early views on theatre practices and aesthetics in the years prior to the emergence of the alternative theatres, most notably his unwavering preference for neo-Aristotelian stage naturalism and psychological realism, and a dynamic emphasis on Toronto’s theatre ecology. In doing so, it offers connections between undergraduate cultural production and career-minded journalistic theatre writing. And it challenges scholars to rethink the professional researcher’s undervaluation of extra-professional theatre criticism.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.640
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.309
Teacher spread0.278 · 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

Citations2
Published2014
Admission routes2
Has abstractyes

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