MétaCan
Menu
Back to cohort
Record W4410862626 · doi:10.14712/23366478.2025.396

Shareholders’ Power in Manage the Company’s Business in Private Limited Company – the Case of Czechia in an International Context

2025· article· en· W4410862626 on OpenAlexaboutno aff
Petr Tomášek

Bibliographic record

VenueAUC IURIDICA · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Law
Canadian institutionsnot available
Fundersnot available
KeywordsShareholderContext (archaeology)BusinessPower (physics)Parent companyAccountingIndustrial organizationFinanceSubsidiaryCorporate governanceMultinational corporation

Abstract

fetched live from OpenAlex

The legal regulation of the Czech limited liability company is distinctive in an international context. While many foreign jurisdictions, to varying degrees, allow shareholders to influence the business management of the company through the general meeting and, for this purpose, to instruct the director (or even decide on a particular matter themselves), Czech company law, as a general rule, explicitly prohibits such a procedure, except where expressly permitted by law. According to established case law, no contrary conclusion may be drawn, even in view of the differing nature of a limited liability company as opposed to a joint-stock company. However, Czech case law and legal doctrine regrettably fail to explore the underlying rationale and objectives of this prohibition in depth. A comparison with the legal framework governing limited liability companies in Germany, Austria, Slovakia, the United Kingdom, Canada, and Australia suggests that shareholders’ intervention in the business management of a limited liability company can be functional, provided that the protection of minority shareholders and creditors remains unaffected and appropriate regard is paid to the director’s liability towards the company. Even these issues, however, can be adequately addressed within the existing framework of Czech legal scholarship.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.999

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 communication0.0000.001
Open science0.0010.000
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 head0.023
GPT teacher head0.245
Teacher spread0.223 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAUC IURIDICASame topicCorporate Governance and LawFrench-language works237,207