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Record W4241620073 · doi:10.31234/osf.io/m8ze5

Who is Open to Authoritarian Governance within Western Democracies?

2020· preprint· en· W4241620073 on OpenAlexaboutno aff
Ariel Malka, Yphtach Lelkes, Bert N. Bakker, Eliyahu Spivack

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsnot available
Fundersnot available
KeywordsAuthoritarianismOpenness to experienceIdeologyCorporate governancePolitical economyPolitical scienceConservatismPopulismDemocracyPoliticsPublic opinionDevelopment economicsSociologyLawEconomicsSocial psychologyPsychology

Abstract

fetched live from OpenAlex

Recent events have raised concern about potential threats to democracy within Western countries. If Western citizens who are open to authoritarian governance share a common set of political preferences, then authoritarian elites can attract mass coalitions that are willing to subvert democracy to achieve shared ideological goals. With this in mind we explored which ideological groups are most open to authoritarian governance within Western general publics using World Values Survey data from fourteen Western democracies and three recent Latin American Public Opinion Project samples from Canada and the United States. Two key findings emerged. First, cultural conservatism was consistently associated with openness to authoritarian governance. Second, within half of the democracies studied, including all of the English-speaking ones, Western citizens holding a protection-based attitude package — combining cultural conservatism with left economic attitudes — were the most open to authoritarian governance. Within other countries, protection-based and consistently right-wing attitude packages were associated with similarly high levels of openness to authoritarian governance. We discuss implications for radical right populism and the possibility of splitting potentially undemocratic mass coalitions along economic lines.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.137
GPT teacher head0.425
Teacher spread0.288 · 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 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

Citations17
Published2020
Admission routes1
Has abstractyes

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