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Record W4403588510 · doi:10.17816/rjls611108

Federal Territory: Constitutional and Legal Regulation Development

2024· article· en· W4403588510 on OpenAlexaboutno aff
Ilya A. Semenov

Bibliographic record

VenueRussian Journal of Legal Studies (Moscow) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsnot available
Fundersnot available
KeywordsConstitutional reviewPolitical scienceLawLaw and economicsSociologyConstitution

Abstract

fetched live from OpenAlex

This article examines the legal status of federal territories as public law entities in the Russian Federation, which emerged as a result of the 2020 constitutional reform. This article discusses issues related to constitutional terminology, the constitutional-legal status, and legal regulation of federal territories, along with an analysis of the practice implementation of the constitutional provisions governing these territories. The specific features of existing federal territories in the Russian Federation and in foreign countries are also reviewed. The necessity for further development of the novelty introduced by the Constitution of the Russian Federation regarding federal territories is underscored, including a discussion on the unique tax regime applicable to these territories. The article employs several scientific methods, including the comparative-legal method and the formal legal method, with additional methods such as analysis and synthesis also utilized. Conclusion: Despite the short period between the establishment of the first federal territory and the development of its legal framework, several distinctive characteristics have also emerged in Russian legislation. An analysis of Russian constitutional law reveals key features in the exercise of public authority in this new public law entity. When comparing approaches to public authority in other countries, the models of India, Brazil, and Canada were chosen for comparison. It was found that Russia’s form of public authority within federal territories is unique and does not fully align with any of the models seen in these foreign states. However, Russian legislation currently lacks a comprehensive law that regulates federal territories as a whole. At present, the only federal territory established in the Russian Federation is the Sirius federal territory, and its legal status is governed by the federal law “On the Federal Territory ‘Sirius’”. This highlights the need for further development of a broader normative framework that regulates the status of the federal territory. Such a framework would not only solidify the legal status of the Sirius federal territory but also provide for future federal territories yet to be formed

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)0.004
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: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.012
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.043
GPT teacher head0.356
Teacher spread0.314 · 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
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

Citations0
Published2024
Admission routes1
Has abstractyes

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