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Record W2593078556

Peace Studies in Russia: Origins, Current Status and Trends. Interview with Professor Victor A. Kremenyuk, Institute for the U.S. and Canadian Studies, Russian Academy of Science

2016· article· en· W2593078556 on OpenAlexaboutno aff
Olga S. Chikrizova

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationConflict resolutionPolitical sciencePeace and conflict studiesCold warInternational relationsPolitical economySociologyLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

The interview is devoted to analysis of peculiarities of Peace Studies in Russia and methodology of the present-day conflicts resolution. The scientist is concerning prerequisites of the origin of the Soviet school of peace studies during the Cold War when the problem of resources exhaustion arouse. Victor A. Kremenyuk uncovers differences between Russian and Western schools of peace studies. The researcher reviews specificities of resolution process for the most difficult present0day conflicts, especially knot of contradictions in the Middle East and crisis in Russia - U.S. relations. The scientist emphasizes importance of control over the conflict status and negotiations as a tool of conflict resolution. He focuses on a complexity of a conflict resolution process and necessity to take into account a lot of different factors during negotiations, and also how important for the Great Powers to realize their global responsibility. By the example of IIASA the researcher demonstrates a role of such international scientific centers as a link between scientific community and authorities.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.653
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0000.002
Open science0.0010.001
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 head0.431
GPT teacher head0.600
Teacher spread0.169 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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