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Record W2140434026 · doi:10.3138/md.50.2.168

Staging <i>The Merchant of Venice</i> in Cork: The Concretization of a Shakespearean Play for a New Society

2007· article· en· W2140434026 on OpenAlexvenueno aff
Lisa Fitzpatrick

Bibliographic record

VenueModern Drama · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCorkIrishMultinational corporationInterpretation (philosophy)JudaismPopulationSpace (punctuation)ImmigrationVisual artsMedia studiesSociologyArtHistoryArchaeologyPolitical scienceLawComputer scienceLinguistics

Abstract

fetched live from OpenAlex

In summer 2005, the Irish theatre company Corcadorca presented The Merchant of Venice as part of a multinational project called ‘‘Relocations.’’ The production was a site-specific, promenade performance that travelled through Cork city centre late at night. It had a multinational cast in the speaking roles and a multiethnic community cast drawn from the local population, who marshalled the audience, processed, and heckled the Jewish characters from within the spectatorial space. The performance aimed to challenge the audience to confront their response to Ireland’s recent history of immigration and the country’s increasingly multilingual and multiracial population. This essay explores the concretization in performance of the fictional dramatic world of the play and focuses on specific devices used by the company to realize their interpretation of the work.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.010
Scholarly communication0.0080.002
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0100.001

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 head0.034
GPT teacher head0.255
Teacher spread0.221 · 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 designQualitative
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
Published2007
Admission routes1
Has abstractyes

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