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Record W2125440335 · doi:10.1111/jeea.12074

DEMOCRATIC PEACE AND ELECTORAL ACCOUNTABILITY

2014· article· en· W2125440335 on OpenAlex
Paola Conconi, Nicolas Sahuguet, Maurizio Zanardi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the European Economic Association · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsHEC Montréal
FundersFonds De La Recherche Scientifique - FNRS
KeywordsAutocracyAccountabilityDemocracyMandateIncentivePolitical sciencePolitical economyPhenomenonExploitConstruct (python library)Sample (material)EconomicsPoliticsLawMarket economy

Abstract

fetched live from OpenAlex

Democracies rarely engage in conflicts with one another, though they are not averse to fighting autocracies. We exploit the existence in many countries of executive term limits to show that electoral accountability is the key reason behind this “democratic peace” phenomenon. We construct a new dataset of term limits for a sample of 177 countries over the 1816–2001 period, and combine this information with a large dataset of interstate conflicts. Our empirical analysis shows that, although democracies are significantly less likely to fight each other, democracies with leaders who face binding term limits are as conflict prone as autocracies. The study of electoral calendars confirms the importance of re-election incentives: in democracies with two-term limits, conflicts are less likely to occur during the executive’s first mandate than in the last one. Our findings support the Kantian idea that elections act as a discipline device, deterring leaders from engaging in costly conflicts.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.122
Threshold uncertainty score0.178

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.257
Teacher spread0.247 · 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