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Record W2137767045 · doi:10.5539/jsd.v8n5p71

The Tatarstan-Chinese Relations in the Humanitarian Sphere: Forms of Interaction

2015· article· en· W2137767045 on OpenAlexvenueno aff
Alfiya Rafisovna Alikberova, Eduard Sh. Alikberov

Bibliographic record

VenueJournal of Sustainable Development · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Political and Economic Relations
Canadian institutionsnot available
FundersKazan Federal University
KeywordsChinaDynamismPolitical scienceObjectivity (philosophy)International relationsPoliticsConsistency (knowledge bases)HistoricismSociologyEpistemologyLawComputer science

Abstract

fetched live from OpenAlex

The relevance of the research problem in the first place is due to the fact that the XXI century has opened for Russia and China new opportunities for further development of bilateral relations, characterized by dynamism over the past decade. Strategic cooperation between Russia and China, proclaimed in the late 90-ies of the last century as the basis, creates regionally favorable political opportunities for bilateral cooperation. The purpose of this study is to examine the Tatarstan-Chinese relations in the humanitarian sphere, as this aspect of the bilateral relationship hasn’t been fully reviewed in the scientific literature. A leading approach to the study of this problem are the principles of historicism and scientific objectivity, consistency, as well as the description and analysis of specific situations, international projects, their explanation, comparison and generalization. The article presents the results of research the Tatarstan-Chinese relations in the humanitarian sphere, namely: the estimation of efficiency of bilateral cooperation in the field of culture, education and science during the studied period is given; identified promising areas of growth for cooperation in the fields of the study; recommendations for improving the implementation of joint humanitarian projects are offered. Materials of the article can be useful for the staff of government institutions in elaboration of regional development strategy in the field of culture, science and education, and also can be used in special and generalizing researches on general history, history of international relations and interstate relations of Russia and China; in the writing of textbooks on modern history of Russia and China, the history of Russian-Chinese political, economic and cultural ties.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0080.023
Scholarly communication0.0060.005
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.028
GPT teacher head0.303
Teacher spread0.275 · 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 designQualitative
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
Published2015
Admission routes1
Has abstractyes

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