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Record W3211945331 · doi:10.1080/13510347.2021.2012160

Militant democracy and successors to authoritarian ruling parties in post-1945 West Germany and Italy

2022· article· en· W3211945331 on OpenAlexaff
Angela K. Bourne, John Veugelers

Bibliographic record

VenueDemocratization · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMilitantAuthoritarianismPolitical scienceDemocracyPolitical economyLawSociologyPolitics

Abstract

fetched live from OpenAlex

This article contributes to the empirical literature on militant democracy and successor party bans by comparing post-1945 West Germany and Italy. These countries shared a right-authoritarian past but their tolerance of right-authoritarian parties differed. Looking for reasons behind the ban of the Sozialistische Reichspartei Deutschlands and the survival of the Movimento sociale italiano, this study tests five conditions: (1) ambiguity towards – if not open approval of – violence; (2) absence of effective alternatives to proscription; (3) securitization; (4) veto player agreement; (5) veto player incentives. We find that securitization is a necessary condition for proscription, whereas approval of violence is not. While neither the presence of effective alternatives nor veto player incentives relate to ban outcomes in a consistent pattern, veto player support remains crucial. Given the findings from this comparative study, we conclude that successor party bans should not belong to a separate category of militant democracy.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.280
Teacher spread0.268 · 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 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

Citations4
Published2022
Admission routes1
Has abstractyes

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