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Record W2009488956 · doi:10.3138/md.47.4.561

Irish Theatre: Conditions of Criticism

2004· article· en· W2009488956 on OpenAlexvenueaboutno aff
Karen Fricker, Brian Singleton

Bibliographic record

VenueModern Drama · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCriticismTheatre criticismIrishContext (archaeology)PoliticsPolitical theatreScholarshipMainstreamIdeologyLiterary criticismAcknowledgementMedia studiesSociologyAestheticsHistoryArtLiteraturePolitical scienceLawPhilosophyLiterary science

Abstract

fetched live from OpenAlex

It is apposite that this collection of essays about (and of) Irish theatre criticism is appearing in the pages of a theatre journal published in Canada, for it was a work of Canadian theatre scholarship that inspired the conference at which these papers were first presented. In the titular essay of Producing Marginality: Theatre and Criticism in Canada, Toronto critic Robert Wallace places the practice of contemporary, mainstream theatre criticism in Canada in the larger context of Canadian society and cultural politics, exposing the implicit ideologies behind a critical practice that he judges to be far too determined by individual taste and a "common sense" approach. An honest and functional critical practice must start with an acknowledgement that ''judgment is relative and evaluation is political", argues Wallace, quoting John Leonard's call for a "Canadian theatre criticism that is partisan, subjective and interested - as it is now - but explicitly so," a criticism, Wallace continues, that "recognizes its symbiotic connection to Canadian theatre".

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)0.021
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.280
Threshold uncertainty score0.590

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.046
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0500.106
Scholarly communication0.0490.012
Open science0.0040.015
Research integrity0.0100.014
Insufficient payload (model declined to judge)0.0110.002

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 head0.311
Teacher spread0.290 · 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 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
Published2004
Admission routes2
Has abstractyes

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