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Record W4380926009 · doi:10.3138/ctr.114.003

Canadian Theatre, the State, and Industrial Development

2003· article· en· W4380926009 on OpenAlexvenueaboutno aff
Michael McKinnie

Bibliographic record

VenueCanadian Theatre Review · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsTheatre studiesState (computer science)PoliticsContext (archaeology)Political theatreSpace (punctuation)Field (mathematics)Media studiesSociologySocial scienceHistoryPolitical scienceVisual artsArtDramaLawArchaeology

Abstract

fetched live from OpenAlex

For some time I have been investigating the historical relationship between theatre practice and urban space, mostly in the context of theatre in Toronto since 1967. It became apparent early in this research that the intersection between theatre and the city raised questions not only of geography but also of political economy. These questions, however, highlighted a problem: if the critical literature on theatre and space is expanding rapidly – though not always rigorously – it would be hard to locate a similar critical interest in theatre and political economy. There is undoubtedly exemplary research being undertaken in the field of theatre and economics (the best instance of which is perhaps Tracy Davis’ outstanding work on the economic history of the British stage), but analyses of the ways in which theatre negotiates state actions and broader economic policy are few and far between.2

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)0.001
metaresearch head score (Gemma)0.003
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 score0.914
Threshold uncertainty score0.626

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.012
Science and technology studies0.0070.005
Scholarly communication0.0060.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.058
GPT teacher head0.270
Teacher spread0.212 · 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

Citations3
Published2003
Admission routes2
Has abstractyes

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