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Record W2007959972 · doi:10.1386/smt.1.2.199_1

Imagining His Dark Materials as a Gesamtkunstwerk

2007· article· en· W2007959972 on OpenAlexfundno aff
Laura MacDonald

Bibliographic record

VenueStudies in Musical Theatre · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
FundersMcGill University
KeywordsArtAdventureVisual artsEPICDoveWrightPerformance artGeorge (robot)LiteraturePuppetryArt historyAesthetics

Abstract

fetched live from OpenAlex

Using first-hand interviews conducted with playwright Nicholas Wright and composer Jonathan Dove, this article discusses the adaptation and production process behind the Royal National Theatre's staging of His Dark Materials . It suggests that an interdisciplinary, collaborative approach was essential in bringing Pullman's epic to the stage. Different combinations of dialogue, music, scenic design, staging and puppetry allowed the production to convey detailed character histories and complex emotional experiences, and cover vast geographies, distilling the essence of the compelling epic. In leaving the structure of the interdisciplinary collaboration transparent, this article argues that the director, Nicholas Hytner, and his team invited the audience to enter the worlds of the play as participants in the collaborative work, free to mould their own experience of the heroes' adventures, and complete the adaptation with their own imagination. This twenty-first-century Gesamtkunstwerk bears comparison with Wagner's Ring cycle of music dramas.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.055
GPT teacher head0.319
Teacher spread0.264 · 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 designQualitative
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
Published2007
Admission routes1
Has abstractyes

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