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Record W1804840009

Who Knows? Oral History Methods in the Study of the Massacres of 1965-66 in Indonesia

2013· article· en· W1804840009 on OpenAlexaff
John Roosa

Bibliographic record

VenueOral History Forum d'histoire orale · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOral historyContext (archaeology)HistoryVariety (cybernetics)Event (particle physics)Focus (optics)Local historySociologyEpistemologyAestheticsArtComputer sciencePhilosophyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The massacres in Indonesia in 1965-66 must have numbered in the thousands but only a few have been studied in any detail. The scant literature about the massacres tends to focus on the historical context rather than on the massacres themselves. One reason for this lack of knowledge is that the massacres were designed to be mysterious. They were not public events; they were meant to be forgotten. To research them, one has to bore through decades of sedimented lies, legends, and silences. This essay reviews the contributions of oral historians to our understanding of the massacres. I argue many of the existing oral histories are flawed because their research methods are unsuited to a situation where the basic facts about the event being investigated are so poorly understood. Researchers have hardly known what to look for. Oral historians have focused their studies on local communities but have tended not to obtain information from a broad crosssection of “locals.” Obtaining reliable information about any single massacre requires an unusual level of cross-checking of information with a variety of people. The preference for strictly local studies has left the main perpetrator, the army high command in Jakarta, out of the picture.

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)0.002
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.039
GPT teacher head0.311
Teacher spread0.272 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

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Same venueOral History Forum d'histoire oraleSame topicVietnamese History and Culture StudiesFrench-language works237,207