MétaCan
Menu
Back to cohort
Record W4231005272 · doi:10.4324/9780429295096

Nationalist Movements Explained

2020· book· en· W4231005272 on OpenAlexaffabout
Maurice Pinard

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsNationalismPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

This book examines nationalist movements in four ethnically plural countries, one of which has no previous experience of such movements at the national level. Presenting comparisons of the cases of Canada, Belgium, Switzerland, and Spain, including descriptions of the social, economic, and political contexts in each country, the author investigates the various determinants of each movement, shedding new light on what accounts for ethnic conflict and harmony. With attention to the degrees of equality and inequality among the various ethnic groups in each society, the extent to which these segments are fragmented and the degree to which there is internal communal integration, this volume also examines the particular roles played by political parties and resources in nationalist movements. A unique contribution to social movement theory based on important comparative analyses, this work will appeal to scholars of sociology and politics with interests in ethnic mobilization and contemporary social movements.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.466
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.002

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 head0.046
GPT teacher head0.197
Teacher spread0.151 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2020
Admission routes2
Has abstractyes

Explore more

Same topicHistorical and Contemporary Political DynamicsFrench-language works237,207