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Record W1509901382 · doi:10.5539/jsd.v8n7p1

Russia and Germany in the Life of the American Diplomat George Frost Kennan (Toward His 110th Birthday)

2015· article· en· W1509901382 on OpenAlexvenueno aff
Oleg Vyacheslavovich Bodrov, Larisa L. Norden, Rustem Narimovich Chanyshev

Bibliographic record

VenueJournal of Sustainable Development · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsnot available
FundersKazan Federal University
KeywordsGeopoliticsGeorge (robot)PoliticsRealismForeign policyCornerstoneDiplomacySociologyPower (physics)Political scienceLawPolitical economyHistoryPhilosophyArt historyEpistemology

Abstract

fetched live from OpenAlex

A well-known American diplomat and historian George Frost Kennan’s (1904-2005) activities studying is still a live issue today and brings us to a different regarding of the key aspects of international relations in the XXth century. Kennan is one of the founders of ideas of “political realism” in the history and theory of international relations and “power equation” in geopolitics as well as the author of the famous “doctrine of containment” which had provided the basis for the USA foreign policy for decades. In this regard the article is aimed at the complex evaluating of the role of Germany and Russia in the life of the American diplomat George Frost Kennan. While working on this article we used a historical-comparative approach enabling comparison of different events and different points of view as well as his own ones during different periods of his life. When studying the role of Russia in Kennan’s life, it should be noted that with it his very first and bright diplomatic appointments are connected and they allowed exploring the Russian political system, developing a passion for the Russian culture, learning the Russian people, whom he had admired through his life. “Russian issue” had always been the cornerstone of not only Kennan’s diplomatic, but also academic and social-political career. The German issue had also been widely regarded in the work of the diplomat.

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)0.002
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.022
GPT teacher head0.294
Teacher spread0.272 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2015
Admission routes1
Has abstractyes

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