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Record W2947193631 · doi:10.5539/jpl.v12n2p53

Forced Emergence of Title to Land Lots as a Phenomenon of Russian Law

2019· article· en· W2947193631 on OpenAlexvenueno aff
Aleksey Anisimov, G.L. Zemlyakova

Bibliographic record

VenueJournal of Politics and Law · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsnot available
Fundersnot available
KeywordsLeasehold estateRedistribution (election)BusinessPrivate propertyReal estateEstateProperty lawLawPublic propertyLand tenureLand lawProperty rightsPolitical scienceGeography

Abstract

fetched live from OpenAlex

The paper studies the legal enforced emergence of private and public title of compulsory origin to land plots in the Russian Federation which is not typical for the European legal practice. The authors examine the causes and consequences of its appearance and note that this is due to the national specifics of Russia's transition to a market economy and a rule-of-law state. The article analyzes legal procedures for the forced reissuance of the right of permanent (unlimited) property use, the emergence of the right of common share ownership of citizens who are the owners of a premises (apartments) in multi-family residential house, the forced transfer to public property of heirless estate, redistribution of landed property among different levels of public authority, transfer of a land lot which cannot by law belong to a citizen or a legal entity to public property, as well as a number of others issues. The authors believe that the legal practice of the compulsory emergency of the right to own land plots is in many respects a necessary condi-tion for securing important public interests which is inadmissibility of the existence of an ownerless estate where condition may threaten life, health and other legally protected goods, the invasion of land in civil circulation, attraction of additional financial resources to the Federal, regional and municipal budgets through the collection of land tax (or rent payment in the case of forcing the owner of the property to include a joint leasehold agreement).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.337
Teacher spread0.318 · 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 teacher head, 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

Citations0
Published2019
Admission routes1
Has abstractyes

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