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Record W4411136122 · doi:10.1080/13501763.2026.2655936

Democratic Frontsliding in the European Union: The Problem of Autocratic Enclaves and the Case for Restorative Disobedience

2025· preprint· en· W4411136122 on OpenAlexaff
Christophe Hillion, Tommaso Pavone, Antoinette Scherz

Bibliographic record

VenueJournal of European Public Policy · 2025
Typepreprint
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsUniversity of Toronto
FundersNorges Forskningsråd
KeywordsAutocracyDemocracyEuropean unionPolitical scienceCivil disobedienceRestorative justicePolitical economyLawSociologyEconomicsInternational tradePolitics

Abstract

fetched live from OpenAlex

After countless warnings of a democratic recession, there are glimmers of democratic renewal, especially in the European Union. As an illiberal government in Poland was voted out of office, policymakers began debating how to restore liberal democracy and what role the EU should play. We answer by theorizing “democratic frontsliding” – the piecemeal restoration of liberal democratic institutions and practices after a period of democratic erosion – and explain how obstructions to frontsliding can be overcome, leveraging Poland as a case study. Frontsliding confronts the problem of “autocratic enclaves:” illiberal elites who survive a democratizing election and wield their institutional powers to obstruct democratization. To dismantle autocratic enclaves, we argue that a government may need transgressive acts of defiance and conscientious rule-breaking, which we call “restorative disobedience.” We develop normative criteria for restorative disobedience to prevent its abuse and explain how the EU can mandate, incentivize, and support restorative disobedience.

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)0.028
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.047
GPT teacher head0.339
Teacher spread0.292 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2025
Admission routes1
Has abstractyes

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