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Record W3033118213 · doi:10.1177/0192512120915902

Economic development: How does it influence the survival of different types of autocracy?

2020· article· en· W3033118213 on OpenAlexaff
Daniel Stockemer, Steffen Kailitz

Bibliographic record

VenueInternational Political Science Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAutocracyModernization theoryDictatorshipEconomicsPoliticsEconomic systemDevelopment economicsPolitical scienceDemocracyEconomic growthLaw

Abstract

fetched live from OpenAlex

Modernization theory is one of the most influential theories in political science. However, to date, studies testing the impact of modernization on political regimes have almost completely focused on democracies. We aim at broadening the discussion to autocracies and ask the following research question: What impact has economic development on the survival of different types of autocracy? Using data covering 1946 to 2016, we ascertain – mainly through logistic regression analysis – that the level of economic development affects not only the endurance of democracies but also that of various types of autocracy. In more detail, we find that economic development prolongs the survival of ideocracies and personalist autocracies. The effect of economic modernization on military dictatorships, monarchies and electoral autocracies is very limited. In contrast, one party autocracies are the only regime type whose survival chances (moderately) decrease with modernization.

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)0.002
metaresearch head score (Gemma)0.010
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.044
GPT teacher head0.359
Teacher spread0.315 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

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