MétaCan
Menu
Back to cohort
Record W3158057204 · doi:10.18274/ocaq3106

Bardomania: Adapting Shakespeare within a Canadian Political Context

2023· article· en· W3158057204 on OpenAlex
Rod Carley

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBorrowers and Lenders The Journal of Shakespeare Appropriations · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsCanadore College
Fundersnot available
KeywordsPoliticsContext (archaeology)Political scienceSociologyLiteratureLinguisticsHistoryArtPhilosophyLawArchaeology

Abstract

fetched live from OpenAlex

In choosing to transpose Shakespeare to a modern Canadian political setting, Canadians articulate a history that is a relevant context for interpreting Shakespeare. As an instance of this sort of transposable history, the inherent drama of the Canadian political landscape of the late 1960s and early 1970s is a particularly good match for adapting Shakespeare's Julius Caesar. In this essay, Rod Carley, a protean adaptor of Shakespeare's plays, discusses his current work on an adaptation of Julius Caesar based on Prime Minister Pierre Elliott Trudeau, the FLQ (Front de Libération de Québec), and events surrounding the October Crisis of the 1970. In Carley's interpretation, Caesar is based on Trudeau and, in the transported setting, he is assassinated in Ottawa by members of the FLQ as an act of revenge in the wake of his handling of "Black October”—perhaps one of the most fraught moments in the last fifty years of Canadian politics.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.045
GPT teacher head0.231
Teacher spread0.187 · 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