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Record W2970266219 · doi:10.5539/jpl.v12n5p103

The State and State Power: Theoretical and Methodological Dimensions of Conceptual Evolution

2019· article· en· W2970266219 on OpenAlexvenueno aff
Valentin Ya. Lyubashits, Alexey Yu. Mamychev, Sergey S. Shestopal, L.V. Perevalova, Т.М. Слінько

Bibliographic record

VenueJournal of Politics and Law · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicElite Sociology and Global Capitalism
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)Relevance (law)PoliticsPower (physics)DemocracySociologyState functionSubject (documents)Management scienceEpistemologyPolitical sciencePositive economicsComputer scienceEconomicsLaw

Abstract

fetched live from OpenAlex

The modern approaches to the evolution of the concepts of state and state power in a globalizing world is a subject of the paper. State power as the state evolves because of the need to address the systemic problems of society, requiring the development of new quality management resources. State power, like the political system, formulates and implements the collective goals of society or groups existing in it. The authors focus on the use of system-structural, functional methods of analysis of the state and state power, which makes it possible not only to explain state and political changes, but also to predict them. The authors substantiate the relevance of the methodological approaches of prominent economists and sociologists Schumpeter and Hayek to analyze contemporary problems of democracy, when the adaptive capacity of a state is aimed at reducing and reducing its role in the life of modern global society.

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)0.014
metaresearch head score (Gemma)0.017
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 score0.016
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.007
Science and technology studies0.0040.076
Scholarly communication0.0160.020
Open science0.0020.006
Research integrity0.0040.006
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 head0.025
GPT teacher head0.344
Teacher spread0.319 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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