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Record W1902130543

US Foreign Economic Policy Under Bush: Imperial, Inspired, or Incompetent?

2005· article· en· W1902130543 on OpenAlexaffvenue
Tony Porter

Bibliographic record

VenueJournal of military and strategic studies · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMultilateralismHegemonyForeign policyEconomic powerEmpireContext (archaeology)Political sciencePower (physics)Political economyGlobal governancePoliticsAdministration (probate law)Corporate governanceEconomicsLawHistory
DOInot available

Abstract

fetched live from OpenAlex

In recent years there has been an increased popular and scholarly consideration of the appropriateness of the concept of “empire” to refer to US power, reflecting a widespread view that the US is even more dominant in world affairs today than in the past. This article examines US foreign economic policy in this context, and argues that US structural economic power has been declining rather than increasing. The Bush administration’s foreign economic policy has been characterized by a linking of economic policy to political goals, and by a shift away from multilateralism. Given US structural economic weaknesses and its integration with the global economy, these policies are consistent with those one would expect from a declining hegemon, and do not lend support to the idea that the US is constructing the type of global governance that merits an imperial label.

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)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.016
Scholarly communication0.0090.006
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.060
GPT teacher head0.358
Teacher spread0.298 · 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 designQualitative
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

Citations1
Published2005
Admission routes2
Has abstractyes

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