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Record W4381144425 · doi:10.1057/s41304-023-00432-x

Ideological drivers of participatory democracy in Europe: disentangling the different approaches of populism and post-materialist politics

2023· article· en· W4381144425 on OpenAlexfundno aff
Gianluca Piccolino, Leonardo Puleo

Bibliographic record

VenueEuropean Political Science · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsnot available
FundersScuola Superiore Sant'AnnaMinistry of Forests, Lands and Natural Resource Operations
KeywordsPopulismIdeologyDemocracyMaterialismPoliticsPolitical economyComparative politicsPolitical sciencePluralism (philosophy)Citizen journalismSociologyLiberal democracyLawEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract Empirical literature regarding which actors support the most participatory democracy is surprisingly scarce. Discussing the core ideological features of populist and post-materialist-centred parties, we expect that these parties emphasise participatory democracy more than their competitors. Additionally, populist parties should embody a monist demand for greater participatory democracy, while post-materialist-centred (PMC) parties should advocate a pluralist understanding of it. Drawing on party electoral manifestos, we verify these assumptions in several national elections across Europe. Our findings show mixed support for the theoretical expectations. Both post-materialist and populist parties support participatory democracy more than other parties, and their principles diverge. More precisely, our data confirm that PMC parties advocate a pluralist understanding of participatory democracy. Yet populist parties show a fuzzier picture. While populist radical right parties exhibit a monist profile, radical left populist parties are much more in line with post-materialist arguments.

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)0.011
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0030.010
Scholarly communication0.0090.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.103
GPT teacher head0.331
Teacher spread0.228 · 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 designObservational
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

Citations6
Published2023
Admission routes1
Has abstractyes

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