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Record W3104581733 · doi:10.6000/1929-4409.2020.09.122

Continuity in the Development of Judicial Law

2020· article· en· W3104581733 on OpenAlexvenueno aff
А. Р. Губайдуллин, Valeriya V. Kurnosova

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsnot available
FundersKazan Federal University
KeywordsLawRelevance (law)PhenomenonScope (computer science)Judicial opinionPolitical scienceJudicial reviewLaw and economicsSociologyComputer scienceEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

The ongoing changes in the legal map of the world reflect the interaction of legal systems. These processes inevitably affect the scope of activities of the judicial authorities associated with such a phenomenon as judicial law. The authors of the article take a narrow approach to understanding it. It implies the manifestation of judicial law as judicial practice and judicial precedents. The relevance of the topic is due to the fact that the phenomenon of judicial law goes beyond the limits of a single legal family, which implies its comparative legal research. At the same time, an important direction of such activity is the study of the development of this law associated with the processes of continuity. The objective of the study is to identify the concept and features of continuity in the development of judicial law. To do this, the authors formulated the following tasks: identify the concept and signs of continuity within the framework of legal development; disclose the peculiarities of understanding judicial law; determine the characteristic features of continuity in the development of judicial precedents; characterize continuity in the evolution of judicial practice. The conducted research is based on a dialectically understood model of continuity. This assumes the use of a systemic paradigm associated with a constellation of different methods, such as comparative, structural-functional, etc. The results allowed the authors to determine the trends and prospects for the development of judicial law within the framework of certain legal spaces. The authors of the article believe it advisable to use these results in subsequent research on this topic.

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)0.001
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.140
GPT teacher head0.408
Teacher spread0.268 · 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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