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Record W3029646860 · doi:10.1017/9781108348447.003

International Festivals, the Practice of Co-production, and the Challenges for Documentation in a Digital Age

2020· book-chapter· en· W3029646860 on OpenAlexaff
Alexandra Portmann

Bibliographic record

VenueCambridge University Press eBooks · 2020
Typebook-chapter
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsDocumentationPhenomenonMedia studiesCriticismProduction (economics)Visual artsFunction (biology)Political scienceArtHistorySociologyLiteratureComputer science

Abstract

fetched live from OpenAlex

International theatre festivals are now a dominant phenomenon and have significantly influenced global theatre production since the 1980s. Against the backdrop of post-colonial criticism over the last three decades, the initial post-Second World War function of festivals to represent various national, mostly European cultures has gradually shifted towards festivals as co-producers of international work. Therefore, festivals appear as influential players in professional networks to establish and circulate aesthetic approaches in contemporary theatre practice. Due to the lack of sources on international festivals in archives and theatre collections, the chapter examines the possibilities and challenges of documenting these new modes of production and mobility in theatre archives. Focusing on to the complex professional network around the Philippines-based choreographer and performance artists Eisa Jocson and the role of Zürcher Theater Spektakel within this network, the chapter argues that digital media and data online for international co-production reveals the complex structures of professional networks and should be considered in research on international theatre festivals in a digital age.

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)0.013
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0170.043
Scholarly communication0.0400.026
Open science0.0030.022
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0120.002

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 head0.041
GPT teacher head0.235
Teacher spread0.194 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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