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CHANGES IN THE LEGISLATION ON THE ORGANIZATION OF PUBLIC POWER IN THE SUBJECTS OF THE RUSSIAN FEDERATION

2022· article· en· W4389405083 on OpenAlexfundno aff
К. M. Khudoley

Bibliographic record

VenueEx Jure · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsnot available
FundersMcGill University
KeywordsRussian federationFederalismUnitary stateLegislatureLegislationState (computer science)Political scienceConstitutionFederal lawLawPower (physics)Public administrationPoliticsFederal stateExecutive powerSociology

Abstract

fetched live from OpenAlex

Abstract: amendments to the Constitution of the Russian Federation adopted in 2020 led to the adoption of a new Federal Law “On the General Principles of Organization of Public Power in the Subjects of the Russian Federation”. Despite the fact that this law actually reproduces many provisions of the Federal Law “On General Principles of Organization of Legislative (Representative) and Executive Bodies of State Power of the Subjects of the Russian Federation”, nevertheless, the rules on the name, terms of office and responsibility of the highest bodies of state power of the subjects of the Russian Federation have undergone significant changes. Some of them call into question the principles of federalism, since they lead to the establishment of a system of relations more characteristic of a unitary state, when the regions are excluded from the opportunity to influence federal politics, and the center has broad powers to appoint and dismiss the heads of regional authorities.

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)0.012
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.097
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0040.005
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.039
GPT teacher head0.297
Teacher spread0.257 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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