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Record W2886777380 · doi:10.1093/dh/dhy058

Putin and Trump

2018· article· en· W2886777380 on OpenAlexaboutno aff
Allen Lynch

Bibliographic record

VenueDiplomatic History · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicRussia and Soviet political economy
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceNegotiationChinaPower (physics)Foreign policyInternational relationsReset (finance)Political economyGeorge (robot)Economic historyLawPoliticsHistorySociologyEconomics

Abstract

fetched live from OpenAlex

How can we explain the repeated failure of U.S. and Russian leaders to “reset” their relationship since the end of the Cold War? The core cause lies in a combination of major asymmetries and incompatible policy objectives, especially about the international status of Russia’s historical borderlands. What are these structural asymmetries in contemporary American-Russian relations? ... with China: $577 billion; with Canada: $543 billion; with The Netherlands: $55 billion; with Russia: $20 billion. Beyond these structural factors, American-Russian relations must also contend with profound differences of basic policy assumptions. Both the Obama and George W. Bush administrations believed that asymmetries in power gave the United States the whip hand in the relationship. Vice President Joe Biden was closer to Dick Cheney, his predecessor, than he perhaps knew when he said in July 2009, “I think we vastly underestimate the hand we hold.”1 For the Russians, their greatest concern was that Americans consistently denied them a sphere of influence along their historical borderlands. So long as countries like Ukraine and Georgia remain eligible for NATO membership (which they have been since April 2008), Moscow cannot assume that it can provide for its regional security at the negotiating table with Washington.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.951
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.286
Teacher spread0.260 · 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 teacher head, not a consensus.

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

Citations2
Published2018
Admission routes1
Has abstractyes

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