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Record W258981728 · doi:10.5771/9780739139561

Multiplicity of Nationalism in Contemporary Europe

2009· book· en· W258981728 on OpenAlexaboutno aff
Ireneusz Paweł Karolewski, Andrzej Marcin Suszycki

Bibliographic record

VenueLexington Books · 2009
Typebook
Languageen
FieldSocial Sciences
TopicHistorical Geopolitical and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsNationalismMultiplicity (mathematics)Political scienceMathematicsMathematical analysisPoliticsLaw

Abstract

fetched live from OpenAlex

Nationalism remains one of the key political, societal, and sociopsychological phenomena in contemporary Europe. Its significance for the justification of state policies and the stability of political systems, particularly in the context of advanced democracies, and its significance for people's basic needs for a political and cultural identity and a sense of national pride continue to challenge scholars. The international scholars assembled in this edited collection suggest that the use of three perspectives_supranationalism, boundary-making nationalism, and regional nationalism_may be promising as an explanatory framework for the analysis of nationalism in Europe. The book's contributors distance themselves from older dichotomies such as civic and ethnic nationalism and questions the one-sided normativity of nationalism, in particular in the concept of liberal nationalism. It argues that a promising approach to contemporary nationalism should reflect the multiplicity of nationalism. The volume is a collection of studies by a multinational group of authors with backgrounds in Belgium, Bulgaria, Canada, Germany, Latvia, New Zealand, Poland, Spain, Ukraine and the United States.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.009
Scholarly communication0.0100.006
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.048
GPT teacher head0.306
Teacher spread0.258 · 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 designTheoretical or conceptual
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

Citations12
Published2009
Admission routes1
Has abstractyes

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