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Record W3111124062 · doi:10.6000/1929-4409.2020.09.172

Features of Corporate Liability for Violation of Competition Law

2020· article· en· W3111124062 on OpenAlex
Oleg M. Yaroshenko, Dmytro Ye. Kutomanov, Nataliya A. Maryniv, Tetiana V. Dudenko

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCompetition (biology)Competition lawCorporationEnforcementCorporate lawLegislationBusinessLaw and economicsIndustrial organizationEconomicsRelevant marketLawMarket economyCorporate governanceMonopolyPolitical scienceFinance

Abstract

fetched live from OpenAlex

The relevance of the study is determined by the need to establish corporate responsibility for breach of legislation. In this regard, this paper is aimed at identifying features of competition and corporate responsibility for breach of competition law. Particular attention is drawn to the case when corporations become monopolists and, in fact, dictate market rules. Consideration of the development aspect of competition law suggests that it largely limits the growth of corporate business and forces corporations to formulate strategies for splitting the business, thereby determining the conduct of business. In the modern world, where business is in many respects globalised, such measures can lead to a decrease in market indicators and form a dependence on the operations of certain corporations in the local market. The leading method to the study of this issue is the modelling method, which allows to consider this problem as a targeted and organised procedure related to the improvement and application of competition law, as well as the protection and development of competition. The novelty of the study lies in the possibility of limiting the activities of a corporation in a market that is occupied by it and where there is no practical competition. The authors consider the mechanism of self-regulation as a source of domestic competition law. The paper determines that self-regulation processes are also subject to state supervision and thus corporate self-regulation becomes an aspect of the regulation of competition enforcement by the state at large. The practical significance of the study is determined by the structural feature of the corporation as a quasi-state mechanism and the regulation of external relations between the state and corporations as tax residents on this basis.

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.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.168

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 head0.105
GPT teacher head0.307
Teacher spread0.201 · 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