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Record W2045220824 · doi:10.3138/md.46.1.22

Zones of Disturbance: Staging Exile and War for Young Audiences

2003· article· en· W2045220824 on OpenAlexvenueno aff
Dragan Klaić

Bibliographic record

VenueModern Drama · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEntertainmentDiasporaContext (archaeology)InjusticePoliticsPolitical violenceSpace (punctuation)HistorySociologyMedia studiesCriminologyAestheticsGender studiesPolitical sciencePsychologySocial psychologyArtLaw

Abstract

fetched live from OpenAlex

The experience of exile/diaspora only infrequently addresses the issue of children and their responses to dislocation. This paper describes strategies used by playwrights and theatre directors to convey the experiences of war, flight, refuge, and exile to young audiences, especially in the countries that are spared such turmoil but serve as safe havens for those escaping protracted conflict and mass violence. The primary aim of these artists is to make young audiences aware of the injustice and violence that affects the ir peers in less privileged pans of the world. While children and adolescents are exposed daily to a heavy regimen of meaningless, arbitrary, and spectacular violence, mainly through television, and video and computer games, theatre has the ability to depict violence in a more thought-provoking and metaphorical manner. It allows time and space to outline causes and consequences, it addresses the historical context and political motivations, and, by doing so, it re-introduces a distinction among the perpetrators, victims, and bystanders, This is a distinction that is often lost when mass culture turns violence into entertainment.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.751
Threshold uncertainty score0.245

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.234
Teacher spread0.210 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations1
Published2003
Admission routes1
Has abstractyes

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