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Record W1580789516 · doi:10.1093/0199242143.001.0001

Minority Nationalism and the Changing International Order

2001· book· en· W1580789516 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicHistorical Geopolitical and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsNationalismSovereigntyIndependence (probability theory)PoliticsStateless protocolPolitical economyNationalityDemocracyPolitical scienceState (computer science)GlobalizationVariety (cybernetics)Sovereign stateOrder (exchange)LawSociologyDevelopment economicsImmigrationEconomics

Abstract

fetched live from OpenAlex

Abstract Globalization and European integration are sometimes seen as the enemies of nationalism, sweeping away particularisms and imposing a single economic, cultural, and political order. The book argues that, on the contrary, by challenging the ‘nation‐state’ as the sole basis for identity and sovereignty, such processes open the door for a variety of claims by stateless nations, and provide new ways of managing nationality claims. At one level, they lower the stakes in resisting independence and might permit peaceful transitions to independence. Yet they may also make independence, in the traditional sense, less important and provide ways in which multiple and conflicting nationality claims could be accommodated within new political structures. The chapters in this volume consider these issues from a theoretical perspective, with the help of case studies of stateless nationalisms in Western, Eastern, and Central Europe, the former Soviet Union, and Quebec. They discuss a wide variety of political experience and show that while there are no easy answers to conflicting national claims, there is reason to believe that they can be managed through democratic political processes.

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: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.060

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 studies0.0040.006
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.014
GPT teacher head0.279
Teacher spread0.265 · 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
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

Citations163
Published2001
Admission routes1
Has abstractyes

Explore more

Same topicHistorical Geopolitical and Social DynamicsFrench-language works237,207