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THE ANTINOMIES OF THE IDEA OF LAW IN THE INSTITUTION OF THE VERSION SUIT

2022· article· en· W4389405088 on OpenAlexfundno aff
A. Sh. Galimov

Bibliographic record

VenueEx Jure · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Regulatory Analysis
Canadian institutionsnot available
FundersMcGill University
KeywordsInstitutionTeleologyIdeologyInterpretation (philosophy)LawOrder (exchange)State (computer science)SociologyEpistemologyPolitical scienceJudicial interpretationLaw and economicsPhilosophyComputer scienceEconomics

Abstract

fetched live from OpenAlex

Abstract: the article deals with the formal, legal and substantive aspects of the concept of unjust enrichment, taking into account the formation of this institution in the domestic legal order, up to its current state, characterized by a gap in terms of version claims. There is a connection between the problem and the growing tendency in recent years to overcome the formal approach in judicial practice. It is shown that ethical elements prevail in the ideological content of the institution of the versions claim, which is currently not formally fixed, but is derived through a systematic and teleological judicial interpretation of the law. The possibility of using antinomies of the idea of law as a methodological tool for overcoming the gap in the regulation of situations corresponding to the classical model of actio de in rem verso is substantiated.

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)0.016
metaresearch head score (Gemma)0.026
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 score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.074
Scholarly communication0.0100.012
Open science0.0010.004
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.251
Teacher spread0.240 · 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

Citations11
Published2022
Admission routes1
Has abstractyes

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