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Record W4394622117 · doi:10.3390/socsci13040205

Europeanization as Pragmatic Politics: Italy’s Civil Society Actors Operating in the Face of Right-Wing Populism

2024· article· en· W4394622117 on OpenAlexafffund
Fazila Mat, Luisa Chiodi, Oliver Schmidtke

Bibliographic record

VenueSocial Sciences · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPopulismRight wingPoliticsFace (sociological concept)Political scienceCivil societyPolitical economySociologyLawSocial science

Abstract

fetched live from OpenAlex

This article examines how and under what conditions Italy’s civil society organizations (CSOs) have resorted to transnational activism and to what extent these efforts translate into impactful political advocacy. The analysis focuses on the action strategies of these civil society actors that have come under considerable pressure through the resurgence of populist–nationalist actors in the domestic arena. Developing an actor-centred perspective from below, this article draws on a series of 27 interviews conducted with these organizations’ representatives working primarily on issues related to migration and refugees in Italy. The empirical study examines some key initiatives that see domestic CSOs as protagonists in the transnational realm and explicates their motivations, approaches, and experiences. Conceptually, the article distinguishes between the vertical and horizontal Europeanization of CSOs. While there are notable opportunities for CSOs to engage in Brussels-centred governance and policy making, the effectiveness of horizontal Europeanization in the form of cross-border networking is—at first sight paradoxically—limited by the EU’s system of multi-level governance. The central argument about Europeanizing civil society activism is that these processes are primarily driven by a pragmatic pursuit of solutions to concrete political challenges that could not be properly addressed in an increasingly hostile domestic environment.

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)0.004
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 score0.190
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0010.001
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 head0.031
GPT teacher head0.350
Teacher spread0.319 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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