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Record W657204152 · doi:10.1017/cbo9780511750755

Multination States in Asia

2010· book· en· W657204152 on OpenAlexaff
Jacques Bertrand, André Laliberté

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIndependence (probability theory)AutonomyPoliticsPolitical economyPolitical scienceColonialismDevelopment economicsState (computer science)Independent stateCentral asiaGeographySociologyLawEconomics

Abstract

fetched live from OpenAlex

As countries in Asia try to create unified polities, many face challenges from minority groups within their own borders seeking independence. This volume brings together international experts on countries in all regions of Asia to debate how differently they have responded to this problem. Why have some Asian countries, for example, clamped down on their national minorities in favour of homogeneity, whereas others have been willing to accommodate statehood or at least some form of political autonomy? Together they suggest broad patterns and explanatory factors that are rooted in the domestic arena, including state structure and regime type, as well as historical trajectories. In particular, they find that the paths to independence, as well as the cultural elements that have been selected to define post-colonial identities, have decisively influenced state strategies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.960
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.019
GPT teacher head0.250
Teacher spread0.231 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations34
Published2010
Admission routes1
Has abstractyes

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