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Record W4236007426 · doi:10.1057/978-1-137-58987-3

Diversity and Contestations over Nationalism in Europe and Canada

2018· book· en· W4236007426 on OpenAlexaboutno aff
John Erik Fossum, Riva Kastoryano, Birte Siim

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2018
Typebook
Languageen
FieldSocial Sciences
TopicHistorical Geopolitical and Social Dynamics
Canadian institutionsnot available
FundersEuropean Social FundUniversitetet i Oslo
KeywordsNationalismDiversity (politics)Political scienceGender studiesSociologyLawPolitics

Abstract

fetched live from OpenAlex

This edited collection considers how transformations in contemporary societies have raised questions surrounding our sense of community and belonging, alongside our management of increased diversity.<br>\n\n<em>Diversity and Contestations over Nationalism in Europe and Canada</em> includes contributions that consider the rise in regional nationalism and a greater willingness to recognise that many states are multinational. It critically explores the effects of altered patterns of immigration and emigration, including whether they give rise to (or re-invigorate) transnational or border-crossing forms of nationalism.<br>\n\nThe book also identifies the patterns of national transformation, especially in Europe, which we see coupled with significant nationalist reactions by populists as well as extreme right-wing movements and parties. This multidisciplinary collection of works will be a useful resource forresearchers and students of political sociology in Europe and Canada, particularly within the contexts of immigration, multiculturalism and globalization.

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 score0.099
Threshold uncertainty score0.718

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.008
Science and technology studies0.0220.010
Scholarly communication0.0100.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.243
Teacher spread0.226 · 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

Citations13
Published2018
Admission routes1
Has abstractyes

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