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Record W4293262603 · doi:10.1017/cbo9781139016391

The Cambridge Introduction to Theatre Directing

2013· book· en· W4293262603 on OpenAlexaff
Christopher Innes, Maria Shevtsova

Bibliographic record

VenueCambridge University Press eBooks · 2013
Typebook
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsYork University
Fundersnot available
KeywordsStanislavski's systemCraftPoliticsVisual artsSpace (punctuation)Performance artArtMedia studiesSociologyHistoryAestheticsArt historyPolitical scienceLawPhilosophyLinguistics

Abstract

fetched live from OpenAlex

This Introduction is an exciting journey through the different styles of theatre that twentieth-century and contemporary directors have created. It discusses artistic and political values, rehearsal methods and the diverging relationships with actors, designers, other collaborators and audiences, and treatment of dramatic material. Offering a compelling analysis of theatrical practice, Christopher Innes and Maria Shevtsova explore the different rehearsal and staging principles and methods of such earlier groundbreaking figures as Stanislavsky, Meyerhold and Brecht, revising standard perspectives on their work. The authors analyse, as well, a diverse range of innovative contemporary directors, including Ariane Mnouchkine, Elizabeth LeCompte, Peter Sellars, Robert Wilson, Thomas Ostermeier and Oskaras Koršunovas, among many others. While tracing the different roots of directorial practices across time and space, and discussing their artistic, cultural and political significance, the authors provide key examples of the major directorial approaches and reveal comprehensive patterns in the craft of directing and the influence and collaborative relationships of directors.

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.040
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0400.011

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 head0.017
GPT teacher head0.184
Teacher spread0.167 · 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

Citations40
Published2013
Admission routes1
Has abstractyes

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