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Record W3023276892 · doi:10.1177/1868103420901921

Containing the Self-Interested Individual: Moral Scepticism of Political Parties in Myanmar

2019· article· en· W3023276892 on OpenAlexaff
Matthew J. Walton

Bibliographic record

VenueJournal of Current Southeast Asian Affairs · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsOpposition (politics)SkepticismSociologyDemocracyLawIdeologyEnvironmental ethicsPolitical sciencePolitical economyEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

In this article, I examine a persistent set of concerns regarding the political party system in Myanmar that I read as emerging in response to a Theravāda Buddhist-grounded conception of human nature as inherently self-centred, biased, and morally ignorant. Although these critiques come from political actors anchored in different ideologies and situated in different historical periods (including the early twentieth-century politician U Ba Khaing, contemporary military leaders, and Daw Aung San Suu Kyi and her party, the National League for Democracy), I argue that the resonance of their critiques with this understanding of human beings has imparted a consistent disciplining and delegitimising effect on opposition and minority parties. However, the same conception of human nature has led other Burmese political commentators (including the independence hero General Aung San and the nineteenth-century minister U Hpo Hlaing) to construct opposing arguments that present collective, participatory political action or engagement as the necessary response to human moral deficiencies. Putting these arguments in conversation helps to reveal the disciplining aspects of the critiques of parties and offer alternative justification – still in accordance with this conception of human nature – for a robust and inclusive party system.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score0.444

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.039
GPT teacher head0.322
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 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

Citations3
Published2019
Admission routes1
Has abstractyes

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