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Record W2995446122 · doi:10.3982/ecta16863

State Capacity, Reciprocity, and the Social Contract

2020· article· en· W2995446122 on OpenAlexaff
Timothy Besley

Bibliographic record

VenueEconometrica · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsCanadian Institute for Advanced Research
Fundersnot available
KeywordsSocial contractReciprocity (cultural anthropology)State (computer science)Public goodPoliticsReciprocalMaterialismTax revenueGovernment (linguistics)Civic culturePolitical cultureRevenueCompliance (psychology)Law and economicsEconomicsSocial securityPublic economicsPolitical economyPolitical scienceMarket economyMicroeconomicsDemocracySociologyFinanceLawSocial science

Abstract

fetched live from OpenAlex

This paper explores the role of civic culture in expanding fiscal capacity by developing a model based on reciprocal obligations: citizens pay their taxes and the state provides public goods. Civic culture evolves over time according to the relative payoff of civic‐minded and materialist citizens. A strong civic culture manifests itself as high tax revenues sustained by high levels of voluntary tax compliance and provision of public goods. This captures the idea of government as a reciprocal social contract between the state and its citizens. The paper highlights the role of political institutions and common interests in the emergence of civic culture.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0030.007
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.080
GPT teacher head0.289
Teacher spread0.209 · 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 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

Citations173
Published2020
Admission routes1
Has abstractyes

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