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Record W2072800562 · doi:10.5509/2009824597

Thin Rule of Law or Un-Rule of Law in Myanmar?

2009· article· en· W2072800562 on OpenAlexvenueno aff
Nick Cheesman

Bibliographic record

VenuePacific Affairs · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMultidisciplinary Warburg-centric Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLawRule of lawPolitical science

Abstract

fetched live from OpenAlex

T he government of Myanmar has responded to worldwide dismay over the May 2009 criminal trial of democracy icon Daw Aung San Suu Kyi for allegedly violating the terms of her house arrest by characterizing it as a simple and unavoidable matter of law. State-run media outlets have rebutted arguments that the charges are baseless, erroneous and politically motivated. The Ministry of Foreign Affairs responded to criticism from the United Nations Security Council by saying that the case would “not have any political impact” and that it was being “considered and carried out as the task [sic] relating to the rule of law.” The government’s recourse to the rule of law in justifying the case, which is aimed at keeping the party leader under lock and key ahead of a planned general election in 2010, is not surprising. Like coup-makers around the world, the army in Myanmar predicated its 1988 takeover on maintenance of the rule of law. One general after the next has stressed the rule of law as a prerequisite for Myanmar becoming modern and developed. The regime has joined the nine other member states of the Association of Southeast Asian Nations in signing a regional charter that includes among its purposes and principles the enhancement of and adherence to the rule of law. Myanmar’s offi cialdom acknowledges the rhetorical force of the rule of law at least as much as its counterparts elsewhere, and like others, uses it for a variety of ulterior purposes. International lawyer Hilary Charlesworth has remarked that the rule of law has “a worthy resonance that no one can plausibly reject and yet it is malleable enough to accommodate many types of legal system.” This worthy resonance is problematic, because it encourages authoritarian regimes of

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 score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.011
Scholarly communication0.0040.006
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.031
GPT teacher head0.313
Teacher spread0.282 · 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

Citations45
Published2009
Admission routes1
Has abstractyes

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