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Record W4206646252 · doi:10.5040/9781350163898

Applied Theatre: Ethics

2022· book· en· W4206646252 on OpenAlexaboutno aff

Bibliographic record

VenueBloomsbury Publishing Plc eBooks · 2022
Typebook
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

<JATS1:p>Applied Theatre: Ethics explores what it means for applied theatre practice to be conducted in an ethical way and examines how this affects the work done with communities and participants. It considers how practitioners can balance aesthetics and ethics when creating performance, particularly with relatively inexperienced and often vulnerable groups of people who are being asked to both tell and stage their stories. The two sections bring together theoretical and practical ways for theatre-makers to examine the ethics of their applied theatre projects.</JATS1:p> <JATS1:p>Part One offers an overview of critical debates and the editors’ reflections on their own practice. It introduces readers to ethics in applied theatre, informed by the thinking of philosophers, scholarly literature and the editors’ own experience, including Indigenous perspectives on ethics and theatre. For applied theatre practitioners, it provides recommendations for community-based ethical approaches working with principles of voice, agency, care, service, collaboration, presence, relationality and reciprocity.</JATS1:p> <JATS1:p>Part Two presents a range of international case studies that explore how the theories and issues are worked out in a variety of diverse practices. It considers ethics from varying critical perspectives and contexts, including projects in Greece, Nigeria, Sri Lanka, Bangladesh, the United States, the United Kingdom, the Philippines and Canada. Covering work with participants of many ages, the case studies include the work of a professional dance theatre company working with people in substance abuse recovery in the UK, interactive drama used in an educational context in Nigeria, and the complexities around an applied theatre project on race in the US.</JATS1:p>

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
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 score0.435
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0100.000

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 head0.054
GPT teacher head0.235
Teacher spread0.181 · 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 teacher head, not a consensus.

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

Citations7
Published2022
Admission routes1
Has abstractyes

Explore more

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