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Record W3200892558 · doi:10.3390/socsci10100351

‘We the People’: Demarcating the Demos in Populist Mobilization—The Case of the Italian Lega

2021· article· en· W3200892558 on OpenAlexafffund
Oliver Schmidtke

Bibliographic record

VenueSocial Sciences · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPopulismPoliticsNationalismIdeologySociologyPolitical economyMobilizationNarrativePolitical scienceAutonomyLaw

Abstract

fetched live from OpenAlex

This article is a theoretically guided and empirically based analysis of how populist movements invoke the notion of the ‘people’ as a cornerstone of their political mobilization. While the confrontation between the virtuous ‘people’ and the unresponsive elites speaks to how populism challenges established political actors and institutions, the actual meaning of who the ‘people’ are and what they represent is shifting and often driven by strategic considerations. Analytically the article investigates the distinct ways in which nationalism and populism conceptualize and politically mobilize the notion of the ‘people’. Empirically it focuses on the Italian League and engages in a discourse analysis of its political campaigns over the past 30 years. Based on this textual analysis of political campaigns, the article sheds light on how the reference to the ‘people’ has been employed as this political actor has transformed from a regionalist party advocating for autonomy in Northern Italy to one taking up the role of a populist-nationalist party at the national level. This case study allows the author to make a generalizable hypothesis about the nature of identity politics promoted by populist actors and the way in which the invocation of the ‘people’ and their alleged enemies is a pivotal political narrative that opens and restricts opportunities for political mobilization. This interpretative approach also allows for a more concise conceptual understanding of the affinity that right-wing populists demonstrate toward nativist ideologies.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0080.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.049
GPT teacher head0.363
Teacher spread0.314 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations5
Published2021
Admission routes2
Has abstractyes

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