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Record W4405669604 · doi:10.5539/jpl.v13n2p82

Gaps and Analogies in the Legal Definition of the Lease Facility in Russia

2020· article· en· W4405669604 on OpenAlexvenueno aff
Viktor А. Mikryukov

Bibliographic record

VenueJournal of Politics and Law · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEconomic and Technological Developments in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsLeaseBusinessPolitical scienceLaw

Abstract

fetched live from OpenAlex

The study is relevant, as multi-variant rental relationships are wide-spread, requiring a seamless legal definition of the key elements of the lease design. The aim is to identify and, by analogy, comprehensively develop the legal regime of problematic and atypical leases, thus strengthening the doctrinal basis for filling legal gaps in the practice of applying civil law by analogy. Combined with special technical-legal and comparative-legal methodological tools, the article applied general logical methods of analysis, synthesis, induction, deduction, comparison and generalization. This research is peculiar in that the method of analogy acted simultaneously as a means, and as an object of study. Specific gaps in the legal definition of the list and properties of present and future things and their parts as admissible lease facilities were identified; a practical idea to improve the regulatory structure of the lease arrangement was formulated. The work helps to achieve greater contractual freedom and variability of economic activity, promotes the involvement of a greater number of material goods in the property turnover, at the same time helping to unlock the potential of the analogy method in the legal regulation of economic activity.

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: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.133

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 head0.049
GPT teacher head0.279
Teacher spread0.230 · 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
Published2020
Admission routes1
Has abstractyes

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