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Record W2753407642 · doi:10.5539/jpl.v10n4p207

Conceptual Bases of State Management in the Sphere of National Security: The Anglo-American Approach

2017· article· en· W2753407642 on OpenAlexvenueno aff
Galina S. Belyaeva, Valeriy P. Belyaev, Olga Grechkina, Vladimir I. Shepelev, S. Y. Chapchikov

Bibliographic record

VenueJournal of Politics and Law · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEvolving Legal Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsNational securityState (computer science)Political sciencePublic administrationConceptual frameworkCharacter (mathematics)Administration (probate law)SociologyLawSocial scienceComputer science

Abstract

fetched live from OpenAlex

This article has both a general theoretical, conceptual, and branch character. It is a complex interdisciplinary study aimed at conceptual approaches establishment to the understanding of national security and the mechanisms for its provision in foreign countries such as the United States and Great Britain. Within the framework of the prepared article, its authors carried out a comparative analysis of strategic legal regulation experience concerning the national security issues of these foreign countries, the use of which is necessary in view of the new global challenges within a national legal system. The specifics of the Anglo-American approach to public administration in the sphere of national security provision are established and systematized.

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)0.003
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.020
Scholarly communication0.0080.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.313
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

Citations1
Published2017
Admission routes1
Has abstractyes

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