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Record W651573879 · doi:10.1017/cbo9780511560088

Autonomy and Ethnicity

2000· book· en· W651573879 on OpenAlexaboutno aff

Bibliographic record

VenueCambridge University Press eBooks · 2000
Typebook
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupAutonomyOppressionState (computer science)PoliticsPolitical sciencePower sharingPower (physics)ChinaEthnic conflictRegional autonomyRepresentation (politics)ConsciousnessGender studiesDevelopment economicsSociologyLawPsychology

Abstract

fetched live from OpenAlex

This book, first published in 2000, deals with one of the most urgent problems of contemporary times: the political organisation of multi-ethnic states. Most major conflicts of our time are internal to the state and revolve around the claims of access to or the redesign of the state. Responses to ethnic conflicts have ranged from oppression and ethnic cleansing to accommodations of ethnic claims through affirmative policies, special forms of representation, power sharing, and the integration of minorities. One of the most sought after, and resisted, devices for conflict management is autonomy. Within an overarching framework that examines different understandings of ethnic consciousness and the variety of territorial autonomies, the authors examine the experiences of spatial distribution of power in Canada, India, China, South Africa, Ethiopia, PNG, Spain, the former Yugoslavia, Cyprus, Sri Lanka and Australia.

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)0.001
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.002

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 head0.023
GPT teacher head0.234
Teacher spread0.211 · 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
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

Citations201
Published2000
Admission routes1
Has abstractyes

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