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LEGAL REGULATION OF ADVANCES AND DEPOSITS UNDER CONTRACTS RELATED TO REAL ESTATE. NATIONAL AND FOREIGN EXPERIENCE

2024· article· en· W4394894547 on OpenAlexaboutno aff
Akromov Okilkhon Anvarovich

Bibliographic record

VenueInternational Journal Of Law And Criminology · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicInsurance and Financial Risk Management
Canadian institutionsnot available
Fundersnot available
KeywordsReal estateStatutory lawJurisdictionEstateBusinessLaw and economicsEconomicsPolitical scienceFinanceLaw

Abstract

fetched live from OpenAlex

In this comprehensive article, the authors delve into the intricate legal landscape surrounding advances and deposits in real estate contracts, offering valuable insights drawn from both national and foreign jurisdictions. The article begins by highlighting the significance of advances and deposits in real estate transactions and the challenges posed by varying legal regulations across different regions. The authors provide a thorough examination of the regulatory frameworks governing advances and deposits in real estate contracts, focusing on key principles, practices, and case studies from national perspectives. They discuss how statutory law, common law principles, and industry standards shape the treatment of earnest money deposits in countries like the United States, emphasizing the importance of understanding jurisdiction-specific requirements to avoid disputes and liabilities. Drawing from foreign experiences, the article explores alternative approaches to regulating advances and deposits, such as deposit protection schemes implemented in countries like the United Kingdom and Canada. By analyzing the mechanisms and effectiveness of these schemes, the authors highlight valuable lessons for enhancing consumer protection and promoting confidence in real estate markets worldwide.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.244

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 head0.037
GPT teacher head0.287
Teacher spread0.250 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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