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Record W2080071626 · doi:10.5539/ass.v10n6p1

The Indonesian Coup September 1965: A Discussion from Bipolarity Structure

2014· article· en· W2080071626 on OpenAlexvenueno aff
Mohd Yazid

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndonesianRivalryDemocracyCommunismPoliticsAdministration (probate law)Power (physics)Political sciencePolitical economyIdeologyDevelopment economicsEast AsiaSociologyLawEconomicsChina

Abstract

fetched live from OpenAlex

This article discusses the Indonesian Coup 1965 from the bipolarity international political structure (Cold War). Power rivalry between the communist-socialist and democratic-capitalist during the Cold War period (bipolarity structure) had resulted the Indonesian Coup 1965. The ‘new order’ Indonesian administration emerged after the coup, replaced the ‘old order’ administration under President Sukarno. The different political philosophy and ideology of ‘new order’ under President Suharto shifted the Indonesian foreign policy from previously leaning against the East power to West power (democratic-capitalist). The domestic political changes after the Indonesian Coup 1965 contributed to the peaceful and harmonious relations with Malaysia and other capitalist state in the South East Asian region. The Indonesian ‘new order’ administration had paved the way to the formation of ASEAN in August 1967 and the creation of South East Asia regional stability.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.010
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.273
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 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
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

Citations0
Published2014
Admission routes1
Has abstractyes

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