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Record W3173239103 · doi:10.1093/fpa/orab011

The US Congress and Rogue States

2021· article· en· W3173239103 on OpenAlex

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

VenueForeign Policy Analysis · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsUniversity of British ColumbiaUniversity Canada West
Fundersnot available
KeywordsLegislaturePolitical scienceState (computer science)VotingForeign policyPoliticsHouse of RepresentativesLawPolitical economyPublic administrationLaw and economicsSociology

Abstract

fetched live from OpenAlex

Abstract Foreign policy has become one of the most polarizing issues in American politics. This paper investigates the extent to which this division extends to arguably one of the most bipartisan foreign policy issues: policies toward rogue states. Our examination of congressional voting and sponsorship data related to rogue states since 1991 finds that, while there is a high degree of bipartisanship on the issue, there are nuanced but significant partisan differences. First, we find that Democrats are significantly more likely to support a rogue state bill dealing with human rights concerns, whereas Republicans are significantly less likely to support a conciliatory bill. We also find that members of Congress are less likely to propose and support a rogue state bill in the presence of a co-partisan president. We thus conclude that, despite the overall high degree of bipartisanship on rogue state issues, partisanship plays an important role in influencing legislative behavior.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.026
GPT teacher head0.359
Teacher spread0.333 · 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