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Record W2886005103 · doi:10.1111/lic3.12486

Shakespeare source study in the early twenty‐first century: A resurrection?

2018· article· en· W2886005103 on OpenAlex

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.

Bibliographic record

VenueLiterature Compass · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsAffordanceDigital eraElement (criminal law)PsychologyLiteratureProcess (computing)AestheticsHistoryArtCognitive psychologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Abstract Renewed interest in authorial and rehearsal processes, as well as new investigations of audience knowledges and experiences, are prompting a rethinking of Shakespearean source study to incorporate 21st century perspectives and to make use of the affordances of digital data processing. This article does not suggest new sources, but rather it shows that scholars are in the process of rethinking Shakespearean source study in light of current ways of thinking about authorship, memory, and audiences. An important element of current thinking is an awareness of the need to sustain an understanding of diverse early modern cultures. Because Shakespeare is such a central figure of English authorship, how Shakespearean sources, compositional processes, and cultural contexts are understood, taught, edited, and studied continues to matter. In all of these areas, digital technologies provide new opportunities and challenges.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.883
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
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 head0.026
GPT teacher head0.251
Teacher spread0.225 · 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