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Record W4396230436 · doi:10.1080/14631369.2024.2347537

Democracy and ethnic autonomy: allies or rivals in Nepal?

2024· article· en· W4396230436 on OpenAlexaff
Hari Har Jnawali

Bibliographic record

VenueAsian Ethnicity · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Nepal
Canadian institutionsBalsillie School of International AffairsUniversity of Waterloo
Fundersnot available
KeywordsDemocracyAutonomyArgument (complex analysis)MainstreamPolitical sciencePolitical economyPoliticsConstitutionEthnic groupSociologyLaw

Abstract

fetched live from OpenAlex

Studies suggest that the democratic system constructs a permissive environment for ethnic autonomy. This argument does not, however, fit in the case of Nepal in which the Constitution has institutionalized the democratic system and rejected the Madheshi autonomy. Nepal’s constitutional position makes it imperative to examine the limits of the democratic system to address ethnic ambitions. In response, this paper has examined the following question: How did the democratic political system affect the Madheshi demand for autonomy and self-determination? It identifies that the democratic system socialized the mainstream parties to consider that democracy supports individual rights and provides all citizens with equal opportunities. In contrast, self-determination gives additional privileges to some communities over others and hurts the citizens’ rights to equal treatment from the state. Due to this perception, the mainstream parties characterized self-determination as an undemocratic right and used numeric strength to refuse the Madheshi autonomy.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.014

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 studies0.0040.013
Scholarly communication0.0050.006
Open science0.0000.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.065
GPT teacher head0.415
Teacher spread0.350 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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