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Record W2338411970 · doi:10.1017/s1479244316000111

GEORGE CATLIN, THE SCIENCE OF POLITICS, AND ANGLO-AMERICAN UNION

2016· article· en· W2338411970 on OpenAlexaff
Daniel Gorman

Bibliographic record

VenueModern Intellectual History · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPoliticsGeorge (robot)Political scienceIntersection (aeronautics)Field (mathematics)Political economyEconomic historyLawHistorySociologyGeographyArt history

Abstract

fetched live from OpenAlex

This article examines the intersection of interwar debates about the scientific study of politics and international order, two fields which are often studied in isolation. It does so through an analysis of the political and international thought of the British political scientist and advocate of Anglo-American union George Catlin, one of the few political thinkers who made important contributions to each field. Catlin was one of the earliest proponents of the scientific study of politics, and his work prefigured the subsequent advent of public-choice theory. He was also the most vocal British advocate of Anglo-American union in the 1930s and 1940s. Catlin believed that international peace could be attained through the equilibrium of regional blocs based upon shared cultural identities. He saw Anglo-American union as the most feasible first step towards such international organization, given what he identified as the existing close bonds of “Anglo-Saxony.”

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0110.012
Scholarly communication0.0050.005
Open science0.0000.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.038
GPT teacher head0.275
Teacher spread0.236 · 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 designNot applicable
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

Citations3
Published2016
Admission routes1
Has abstractyes

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