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Record W3125909199 · doi:10.1162/003355305774268237

Partisan Competition, Growth, and the Franchise*

2005· article· en· W3125909199 on OpenAlexaff
Humberto Llavador, Robert J. Oxoby

Bibliographic record

VenueThe Quarterly Journal of Economics · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDemocratizationCeteris paribusDemocracyCompetition (biology)EconomicsVotingPoliticsAutocracyPolitical economyEliteEconomic systemIdeologySuffrageMarket economyPolitical scienceMicroeconomicsLaw

Abstract

fetched live from OpenAlex

We present an argument for changes in the franchise in which an elite split along economic interests use the suffrage to influence implemented policies.Through the influence of these policies on the character of industrialization, we analyze the effects of franchise changes on economic growth.We identify in the social structure of society an explanation for the connection between enfranchisement and growth: When (1) there exist an economic conflict among the elite, (2) landed classes are not politically strong, and (3) there exists a critical mass of industrial workers, we observe both growth and democratization.The lack of conditions (1) or (2) resolves in stagnant autocracies while the absence of condition (3) drives growth-deterring democratic expansions.We provide historical support for our argument by analyzing the experience of 11 countries.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.014
GPT teacher head0.234
Teacher spread0.220 · 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

Citations67
Published2005
Admission routes1
Has abstractyes

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