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Record W605184681

Special section: Digital Shakespeares

2014· book· en· W605184681 on OpenAlexaboutno aff
Tom Bishop, Alexa Huang, Brett Greatley‐Hirsch, D. H. Craig

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsYearbookSection (typography)CraftRomanceHistoryVariety (cybernetics)The RenaissanceClassicsArtLiteratureArt historyArchaeologyVisual arts
DOInot available

Abstract

fetched live from OpenAlex

This eighth volume of The Shakespearean International Yearbook presents a special section on 'European Shakespeares', proceeding from the claim that Shakespeare's literary craft was not just native English or British, but was filtered and fashioned through a Renaissance awareness that needs to be recognized as European, and that has had effects and afterlives across the Continent. Guest editors Ton Hoenselaars and Clara Calvo have constructed this section to highlight both how the spread of 'Shakespeare' throughout Europe has brought together the energies of a wide variety of European cultures across several centuries, and how the inclusion of Shakespeare in European culture has been not only a European but also a world affair. The Shakespearean International Yearbook continues to provide an annual survey of important issues and developments in contemporary Shakespeare studies. Contributors to this issue come from the US and the UK, Spain, Switzerland and South Africa, Canada, The Netherlands, India, Portugal, Greece, France, and Hungary. In addition to the section on European Shakespeares, this volume includes essays on the genre of romance, issues of character, and other topics.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.142
Threshold uncertainty score0.475

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0030.001
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1420.048

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 head0.026
GPT teacher head0.202
Teacher spread0.177 · 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
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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