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Record W2982353184 · doi:10.5430/ijhe.v8n7p138

Methods And Forms of Teaching of the Right To Information by Shareholders in the Digital Economy

2019· article· en· W2982353184 on OpenAlex
Aleksey I. Ovchinnikov, Yana B. Getman, И В Колесник, Veronika V. Kolesnik, Natalia A. Boyko

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 Higher Education · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSecurities Regulation and Market Practices
Canadian institutionsnot available
FundersRussian Foundation for Basic Research
KeywordsShareholderCorporate lawJoint-stock companyAccountingStock (firearms)Compliance (psychology)Law and economicsBusinessJoint (building)Corporate governanceLawPolitical scienceEconomicsFinanceEngineering

Abstract

fetched live from OpenAlex

Joint stock issues, i.e. legal rules governing relations within commercial corporations, attract special attention of researchers of private law, corporate law in particular. A large number of internal corporate contradictions plays a negative role in the economic and economic activities of joint-stock companies. This fact affects the growth in the number of scientific publications on the issues of shareholder relations between their participants in terms of compliance with the civil law prohibition of Teaching of the right. It also has an impact on judicial practice: more and more often, the courts use the term “Teaching of law” to analyze existing conflicts in corporate law.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.244

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 studies0.0000.000
Scholarly communication0.0000.003
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 head0.009
GPT teacher head0.309
Teacher spread0.300 · 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