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Record W4249113576 · doi:10.1017/cbo9780511761379

Actors and Acting in Shakespeare's Time

2010· book· en· W4249113576 on OpenAlexaff
John H. Astington

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook
Languageen
FieldArts and Humanities
TopicTheater, Performance, and Music History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsApprenticeshipPeriod (music)Style (visual arts)ChoirContext (archaeology)Visual artsArtSociologyLiteraturePedagogyHistoryAesthetics

Abstract

fetched live from OpenAlex

John Astington brings the acting style of the Shakespearean period to life, describing and analysing the art of the player in the English professional theatre between Richard Tarlton and Thomas Betterton. The book pays close attention to the cultural context of stage playing, the critical language used about it, and the kinds of training and professional practice employed in the theatre at various times over the course of roughly one hundred years - 1558–1660. Perfect for courses, this survey takes into account recent discoveries about actors and their social networks, about apprenticeship and company affiliations, and about playing outside the major centre of theatre, London. Astington considers the educational tradition of playing, in schools, universities, legal inns, and choral communities, in comparison to the work of the professional players. A comprehensive biographical dictionary of all major professional players of the Shakespearean period is included as a handy reference guide.

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: Other · Consensus signal: Other
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.014
Scholarly communication0.0110.005
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.002

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 head0.016
GPT teacher head0.163
Teacher spread0.147 · 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

Citations57
Published2010
Admission routes1
Has abstractyes

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