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Record W2020262853 · doi:10.1017/s0021911812000642

Lao Buddhist Monks' Involvement in Political and Military Resistance to the Lao People's Democratic Republic Government since 1975

2012· article· en· W2020262853 on OpenAlexaboutno aff
Ian G. Baird

Bibliographic record

VenueThe Journal of Asian Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOffensiveBuddhismPoliticsPolitical scienceGovernment (linguistics)MilitarismDemocracyContext (archaeology)Resistance (ecology)VietnameseCommunismMainland ChinaChinaPolitical economyDevelopment economicsLawSociologyHistory

Abstract

fetched live from OpenAlex

There is a long history of Theravada Buddhist monk involvement in militarism in mainland Southeast Asia. Here, I examine recent Lao monk support for political and military activities directed against the communist Lao People's Democratic Republic government and its Vietnamese supporters since 1975. Monks have not become directly involved in armed conflict, as monastic rules do not allow participation in offensive violent acts, or arms trading, but they have played various important roles in supporting armed resistance against the Lao government. Some monks assisting insurgents have been shot in Thailand. Now most of the Lao insurgent-supporting monks live in the United States, Canada, and France, where a few continue to assist the political resistance against the Lao government, arguing that providing such support does not contradict Buddhist teachings. This article demonstrates how Lao Buddhist monks have negotiated religious conduct rules in the context of strong nationalistic convictions.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.390
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.322
Teacher spread0.287 · 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 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

Citations20
Published2012
Admission routes1
Has abstractyes

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