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Record W2042677807 · doi:10.1080/13518041003799576

The Sino-Russian Strategic Partnership: Views from Beijing and Moscow

2010· article· en· W2042677807 on OpenAlexaff
Christina Yeung, Nebojsa Bjelakovic

Bibliographic record

VenueThe Journal of Slavic Military Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicRussia and Soviet political economy
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsGeneral partnershipBeijingStrategic partnershipChinaPrestigePolitical scienceConsistency (knowledge bases)Power (physics)Norm (philosophy)Political economySociologyPublic administrationLawComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Two decades of improvement in relations have given strategic significance to the relationship between China and Russia. Taken together, their power projection capabilities are worrying adjacent nations in Central Asia and the Far East, especially when compounded with US regional policies. However, there remain doubts as to the extract nature and extent of the “partnership” between the two giants. To determine whether their “partnership” should be a cause for concern, the authors assess the views each one holds of the other, the consistency of those views over time, and how they have shaped their actual policies. The authors conclude that the relationship between Russia and China is not based on an equal “partnership” where cooperation is the norm. Instead, the relationship is akin to a zero-sum game where each attempts to outmatch the other in their respective quests for power and prestige.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.048
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0090.009
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.079
GPT teacher head0.365
Teacher spread0.286 · 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 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

Citations6
Published2010
Admission routes1
Has abstractyes

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