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Record W1553734747 · doi:10.3138/tric.30.1_2.111

<i>Léo</i> at the Tarragon: Naturalizing the Coup

2009· article· en· W1553734747 on OpenAlexaffvenueabout
Guillermo Verdecchia

Bibliographic record

VenueTheatre Research in Canada · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMulticulturalismNarrativeGovernment (linguistics)HumanitiesSociologyArtPhilosophyLiteraturePedagogyLinguistics

Abstract

fetched live from OpenAlex

Rosa Laborde’s play Léo draws on the complex (Chilean and Latino) cultural memory of the 1973 coup that deposed the Salvador Allende government, but the debut production at Toronto’s Tarragon contains that memory to serve dominant cultural narratives. The Tarragon production of Léo—a play ostensibly ‘about’ Chile—is a clear example of how dominant cultural paradigms can persist across the borders of intercultural performance. I consider the ways in which text, production, supplementarymaterial provided in the program, and the theatre’s public discourse work to appropriate amemory of rupture and reactivate a familiar vision of multicultural Canada.

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 score0.369
Threshold uncertainty score0.742

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.023
Scholarly communication0.0080.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.060
GPT teacher head0.358
Teacher spread0.298 · 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
Published2009
Admission routes3
Has abstractyes

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