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Record W4389521722 · doi:10.1080/17449057.2023.2287386

Does the Interpretation of Self-determination Affect Autonomy Struggles in Asia?

2023· article· en· W4389521722 on OpenAlexaff
Hari Har Jnawali

Bibliographic record

VenueEthnopolitics · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAutonomyChinaIndependence (probability theory)IndigenousInterpretation (philosophy)Gender studiesPolitical sciencePolitical economySociologyLaw

Abstract

fetched live from OpenAlex

The anti-colonial interpretation of the right to self-determination has affected the minorities’ autonomy struggles in China and Nepal. The Tibetans in China and the Madheshis in Nepal urge their governments to recognise their self-determination through autonomy. However, the Chinese and Nepalese governments interpret self-determination as the right to independence and hesitate to provide autonomy. Against this background, this paper examines the following question: How has the anti-colonial interpretation of self-determination determined the response of the Nepalese and Chinese governments to ethnic autonomy? It argues that the anti-colonial interpretation has encouraged the Chinese and Nepalese governments to consider autonomy as the other name for self-determination that has independence as its goal. This perception leads these Asian governments to reject ethnic autonomy. These governments thus i) question the sincerity of nationalist movements, ii) refuse the ethnonational narratives of identities and belongingness, and iii) provide limited 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)0.004
metaresearch head score (Gemma)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.018
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.330
Teacher spread0.314 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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