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The Development of Local Self-Government in Russia in the Late XVII – First Quarter of XVIII Century

2018· article· en· W2792729805 on OpenAlexaboutno aff
Aleksandr V. Bykov

Bibliographic record

VenueVestnik of the Omsk Law Academy · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Regulatory Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsLocal governmentQuarter (Canadian coin)State (computer science)Political scienceEmpireNormativeGovernment (linguistics)Central governmentPublic administrationCorporate governanceAdministration (probate law)Political economyLawSociologyGeographyEconomicsManagementPhilosophy

Abstract

fetched live from OpenAlex

On the basis of analysis of normative-legal acts, with the involvement of Russian scientists of XIX - beginning of XX centuries and results of modern studies of the development of local self-government in the Russian Empire of the XVII - first quarter of XVIII century the article is focused on issues of regulatory-legal regulation, the ratio of state and local interests in the activities of local administration bodies, relations of the crown (appointed by the Central government, the Czar) and elected bodies of local governance. The Author reveals the motivation of the central government (the Czar) to the formation of a new local government system, its features, functions. The legal bases and the principles of election of officers of local authorities are also discussed. It is concluded that the attempt to introduce in Russia the local municipal city self-government on foreign models was unsuccessful. The Author expresses an opinion on the limited nature of elected bodies of local governance, the primacy of the interests of the central government in their activities.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.047

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 studies0.0030.005
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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 designObservational
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
Published2018
Admission routes1
Has abstractyes

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