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Only Northerners Need Apply? Northern Broadsides and No-nonsense Shakespeare

2021· book-chapter· en· W4296867906 on OpenAlexaboutno aff
Caroline Heaton

Bibliographic record

VenueEdinburgh University Press eBooks · 2021
Typebook-chapter
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRutterDramaCharacter (mathematics)NonsenseBroadsideNorthern irelandLiteratureFocus (optics)HistoryArtGeographyCartographyEthnologyMathematics

Abstract

fetched live from OpenAlex

Caroline Heaton shows how, following its formation in 1992, the Northern Broadsides has been a regular source of Northern-infused energetic productions of works by Shakespeare, in the shape of Barrie Rutter’s company. Rutter, part of the post-war generation of working-class drama students who wanted more than walk-on parts or character roles, pioneered a kind of quickfire Shakespeare performance arguably closer to the original than the RSC, with the focus on substance rather than show. All of Northern Broadsides’ shows are in broad Yorkshire dialect regardless of the play or character, so the language does not sound ‘authentic’ in any historical sense, but Heaton makes a strong case for seeing and hearing Northern Shakespeare as the real thing, or as real as theatre gets.

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)0.001
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 score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.006
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.005

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 head0.024
GPT teacher head0.183
Teacher spread0.160 · 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
Published2021
Admission routes1
Has abstractyes

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