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Record W2759480955 · doi:10.1353/tj.2017.0046

Wayang in Museums: The Reverse Repatriation of Javanese Puppets

2017· article· en· W2759480955 on OpenAlexaboutno aff
Matthew Isaac Cohen

Bibliographic record

VenueTheatre Journal · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Identity and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionIndonesianRepatriationVisual artsArtOrientalismPuppetryMulticulturalismArt historyHistorySociologyLiteratureArchaeology

Abstract

fetched live from OpenAlex

Transported to museum settings, wayang puppets from Java (Indonesia) are inevitably disembedded from performance traditions and the techniques and events animating and framing them. But this essay argues that it is possible to involve puppets in processes of “reverse repatriation,” bringing home to objects far from their sites of origin, as well as catalyzing new dialogues in sites of storage, exhibition, and performance. Puppets in the British Museum collected in Java by T. S. Raffles during the 1810s are venerated by Javanese visitors, but generally museum visitors were more taken by wayang hip hop puppets acquired in 2016 and displayed alongside Raffles’s figures in the exhibition Shadow Puppet Theatre from Indonesia, Malaysia, and Thailand. (2016–17). The new puppets serve to challenge Orientalist preconceptions of wayang as an unchanging tradition. A wayang performance occasioned by the exhibition Die Welt des Schattentheaters: Von Asien bis Europa (The world of shadow theatre: From Asia to Europe) (2015–16) at the Linden Museum Stuttgart enabled an intergenerational dialogue about the tradition of wayang for a German Javanese diasporic family. A set of puppets collected in Java over several generations by a Chinese Indonesian family, gifted in 2006 to Simon Fraser University’s Museum of Archaeology and Ethnology in British Columbia, has been used to explain stories of migration and multiculturalism in Canada. The private museum Rumah Wayang 2 (House of Wayang 2) in Tegal, Indonesia, is a way station for the puppets of puppeteer Enthus Susmono. Rather than safeguarding puppets, Enthus’s museum promotes his reputation as an innovator and whets appetites for his puppets’ future sale.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.006
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.282
Teacher spread0.228 · 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 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

Citations9
Published2017
Admission routes1
Has abstractyes

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