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Record W2971055735 · doi:10.5539/jpl.v12n5p96

The Traditional State as a Specific Form of Political Organization

2019· article· en· W2971055735 on OpenAlexvenueno aff
Valentin Ya. Liubashits, Nikolai V. Razuvaev, Natalia Fedorova, Georgii Ia. Trigub, Oleg V. Soloviev

Bibliographic record

VenueJournal of Politics and Law · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Rock Art Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsState (computer science)ReproductionPhenomenonSocial organizationPolitical scienceSociologyLaw and economicsEpistemologySocial scienceLawMathematics

Abstract

fetched live from OpenAlex

The article analyzes the traditional state as a historical, political, legal, and cultural phenomenon that has had a fundamental impact on the transformation of the socio-political organization of society, on the legal and socio-cultural development of modern social systems. The authors argue that the traditional state should be characterized as a specific form of the political, legal, social, and cultural organization since it contains all the institutions that provide for the management of various processes in society, and has the operating forms and mechanism of its preservation and reproduction. In addition, the work shows that the traditional state forms special legal regimes, as well as forms of socio-political integrity. The authors prove that the specificity of the traditional state as a historical type has manifested in a whole series of system characteristics (functions, structure, and forms) incomparable in full with the organizational features of other historical types of states, primarily the modern state.

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)0.001
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.011
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.001
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 head0.019
GPT teacher head0.278
Teacher spread0.259 · 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
Published2019
Admission routes1
Has abstractyes

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