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Record W2785050989

Review of the book: Natufe Igho, 2015. “Russian foreign policy: in search of lost influence”, Moscow, Krasand, 297 p.

2016· article· en· W2785050989 on OpenAlexaboutno aff
B Mikael Nigusie Kassae, Ныгусие Кассае В. Микаэль

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Political and Economic Relations
Canadian institutionsnot available
Fundersnot available
KeywordsMilestoneDiplomacyGeopoliticsForeign policyPoliticsPolitical scienceFriendshipInternational relationsDiplomatic historyForeign relationsEconomic historySocial scienceHistorySociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

The author of the monograph, Professor of Political Science of the Institute of African Studies O. Igo Natufe, is a specialist in Soviet and Russian foreign policy. He was educated at the Peoples' Friendship University, as well as at Carleton and McGill Universities (Canada), where he received a doctorate. In addition to the scientific work, he taught political science and international relations at universities in Canada, Ghana and Nigeria. His book is based on documentary evidence, on the vast literature of both Russian and foreign authors about Russian diplomacy since the 1980s. The author convincingly proved the chronological framework of the study. Lower chronological milestone - 1985 - can truly be called an important milestone in the history of modern Russia. That was the year the event took place, which have made major adjustments to the internal and external strategy of Moscow, including its foreign policy. The presented research work demonstrates the highly quality of the researcher, analyzing the qualitative theoretical level serious scientific problems. In his monograph, the author refers to the analysis of geopolitical and geo-economic processes taking place in the CIS which has arisen after the collapse in December 1991 of a major actor in world politics, as the USSR.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0030.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.186
GPT teacher head0.558
Teacher spread0.372 · 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 designObservational
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

Citations0
Published2016
Admission routes1
Has abstractyes

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