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Comparative Legal Analysis of the Obligations of Kazakhstan and the CIS Countries on Nuclear Disarmament

2025· article· en· W7130501892 on OpenAlexaff
Alibek Bolat, Sholpan Saimova

Bibliographic record

VenueBrawijaya Law Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsLibrary of Parliament
Fundersnot available
KeywordsDisarmamentTreatyHarmonizationScholarshipWork (physics)Foreign policyPoliticsAccessionPolicy analysis

Abstract

fetched live from OpenAlex

This study conducts a comparative analysis of Kazakhstan’s and CIS countries’ nuclear disarmament commitments. The primary aim of the research is to identify convergences and divergences in legal obligations, policy frameworks, and implementation mechanisms across the region. The work holds both scientific values, by filling a gap in comparative regional nuclear policy studies, and practical relevance, by informing policymakers on best practices. Employing a comparative legal methodology, supplemented by document analysis and expert interviews, the research examines treaties, domestic legislation, and compliance reports. Key findings reveal that Kazakhstan demonstrates leadership through proactive treaty accession and verification measures, while some CIS states face implementation delays due to political and technical constraints. The study contributes to international security scholarship by clarifying regional disarmament dynamics and offers recommendations to enhance cooperative mechanisms and strengthen national institutions for effective disarmament. Practical significance lies in guiding future policy harmonization and capacity-building initiatives.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.951
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.015
GPT teacher head0.321
Teacher spread0.306 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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