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Issues of jurisdiction of disputes to arbitration. Comparative analysis of legislation of the states of Arctic region

2023· article· en· W4382703687 on OpenAlexaboutno aff
Vladimir A. Gavrilenko

Bibliographic record

VenueCurrent Issues of the State and Law · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationArbitrationJurisdictionCompulsory arbitrationArcticLawRelevance (law)Scope (computer science)Political scienceThe arcticWork (physics)Competence (human resources)BusinessEconomicsEngineeringManagement

Abstract

fetched live from OpenAlex

We explore the issues of the jurisdiction of disputes to arbitration and the competence of arbitration institutions to consider certain types of disputes. The purpose of work is a complete and objective comparative analysis of legislation of the states of the Arctic region, such as the United States of America, Canada, Denmark, Norway, Sweden, Finland, Iceland. The relevance of the results is that the consideration of disputes in arbitration (referees) as a protection of the rights and interests of economic entities in the scope of the system for identifying states. We conduct a comparative analysis of the peculiarities of the legislation of the states of Arctic region, and also compare and analyze the arbitration practice of various arbitrations. The legal regulation of the issues under study is analyzed and conclusions are drawn about the main problems and shortcomings of legal acts in this area. The results of study can be implemented in law-making work on improving legislation in the field of arbitration of disputes.

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 score0.815
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.038
GPT teacher head0.305
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

Citations6
Published2023
Admission routes1
Has abstractyes

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