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О правовом регулировании опционов

2025· article· en· W4414695165 on OpenAlexaboutno aff
Yu.V. Galinskaya

Bibliographic record

VenueScientific works Adilet · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Regulatory Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCivil codeLegislationLeaseScope (computer science)Common lawCivil law (Civil law)EstateReal estate

Abstract

fetched live from OpenAlex

The article examines the key issues of legal regulation of options in the civil law of the Republic of Kazakhstan and in common law countries. The author analyzes the provisions of the Civil Code of Kazakhstan, which limit the use of option agreements to the field of derivative financial instruments. Particular attention is paid to foreign practice, where options are widely used in lease agreements, real estate sales contracts, and ship chartering. In common law jurisdictions, options are studied through the concepts of irrevocable offer, consideration, and the distinction between unilateral and bilateral contracts. Doctrinal and practical approaches, including court precedents from England, Canada, and the United States, are discussed. The author concludes that it is necessary to expand the scope of option agreements in Kazakhstani legislation to ensure more flexible and effective protection of the parties’ interests. Keywords: option, contract law, civil legislation, Civil Code of Kazakhstan, common law, irrevocable offer, consideration, unilateral contract, court precedent, comparative legal analysis

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.005

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 head0.008
GPT teacher head0.296
Teacher spread0.287 · 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 source (direct Gemma or distilled Codex), 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
Published2025
Admission routes1
Has abstractyes

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