MétaCan
Menu
Back to cohort
Record W2138920100 · doi:10.1177/0022002704267766

The Incredible Shrinking State

2004· article· en· W2138920100 on OpenAlexaff
David A. Lake, Angela O’Mahony

Bibliographic record

VenueJournal of Conflict Resolution · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOpenness to experienceUnitary stateResizingEconomicsState (computer science)Scale (ratio)Government (linguistics)Economies of scaleLate 19th centuryDevelopment economicsPolitical economyPolitical scienceEconomic geographyInternational economicsGeographyLawPeriod (music)

Abstract

fetched live from OpenAlex

The effects of economies of scale in government, trade openness, preference heterogeneity, and regime type are used to explain why the average size of states within the international system nearly doubled between 1816 and 1876 and then contracted over the 20th century. No one variable appears to explain the trend fully. Results suggest that the rise in territorial size during the 19th century is the product of a growing number of federal democracies, which tend to be large, and that the decline in average size during the 20th century is the result of a growing number of unitary democracies, which tend to be small. Increasing economies of scale in the 19th century may have led to the rise of large federal democracies, whereas economic liberalism may have allowed unitary democracies to prosper in the 20th century.

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)0.004
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 score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.020
GPT teacher head0.297
Teacher spread0.277 · 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

Citations145
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Conflict ResolutionSame topicLocal Government Finance and DecentralizationFrench-language works237,207