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Record W98920201

Made Lebah: Reminiscences from 'jaman setengah Bali'(Half Bali Times)

2007· book-chapter· en· W98920201 on OpenAlexaboutno aff
C. F. S. Warren

Bibliographic record

VenueMurdoch Research Repository (Murdoch University) · 2007
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionMusicalThe artsServantHistoryColonialismStyle (visual arts)ArtPerforming artsPeriod (music)Art historyVisual artsAestheticsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This chapter focuses on perceptions of cultural place and social change in twentieth-century Bali through the eyes of one of its many extraordinary, "ordinary" people. Made Lebah was born in the in the Gianyar village of Peliatan in the early years of the century and died just before its end. His reminiscences begin in the time he referred to as "jaman setengah Bali", when the regency of Gianyar was only nominally controlled by the dutch, who had conquered the South Balinese kingdoms in 1906-8. This was the period of his childhood, his time as a servant in the royal court of Peliatan, and the beginnings of his life-long enchantment with Balinese music. He grew up under Dutch colonial rule, when he was given the first opportunity to travel the world as a performer in the Peliatan Gamelan troupe, which he had helped form. Thus began hist first encounters with many of the Western musicians, scholars and students who flocked to Bali after the Peliatan performances at the Paris Colonial Exhibition in 1931 brought this stunning musical style to world attention. Subsequently Lebah worked for Colin McPhee, the Canadian composer who devoted himself to the study and exposition of Balinese music. He had what might appear to be the unusual combination of jobs as music teacher and driver for McPhee. But in fact most performers in Bali of that era combined their artistic activities with more mundane pursuits as farmers or traders. And it remains the case today, that only a small number are able to support themselves as full-time professional performers.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0240.008
Scholarly communication0.0060.005
Open science0.0010.005
Research integrity0.0020.010
Insufficient payload (model declined to judge)0.0040.001

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 head0.109
GPT teacher head0.334
Teacher spread0.226 · 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 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

Citations3
Published2007
Admission routes1
Has abstractyes

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