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Record W4411656920 · doi:10.51847/uyz5boifje

10.51847/UyZ5bOifJe

2000· article· en· W4411656920 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsnot available
Fundersnot available
KeywordsConventionLawPolitical scienceBusiness

Abstract

fetched live from OpenAlex

There are different regulations stipulated in the domestic laws of some countries that hold the consenter responsible for certain risk transfer liabilities by the requiring party.Imamiyyeh Jurisprudence has specified the axiom "the seller is liable for wasted sale objects before billing" to serve the same purpose, Iran's civil procedure has codified Article (387) and the international documents on the contracts, like the contracts for the international sale of goods (CISG) and the international commercial terms (Incoterms) have also dealt with the issue.The important issue worthy of contemplation here is the point where these rules and regulations intersect with one another and it is occasionally manifested as contradictory ideas that provide for more debates and are therefore indicative of the law dynamicity.Generally, risk transfer in the contracts that do not necessitate the delivery of the goods and those requiring the goods carriage and the ones the subject of which is sold in delivery feature different conditions and effects; they can be explained and investigated in the domestic law and the foreign regulations based on the time of risk transfer and, generally, based on three theories of risk transfer with signing the contract, risk transfer with the conveyance of ownership and risk transfer with the delivery and submission of goods.The analysis of the abovementioned cases in a descriptive and comparative approach is the objective of and of concern to the current research paper.The present study deals with the comparative study of risk transfer in the laws of Iran with the statutory provisions stipulated in the international sales convention, the obligations law of France and the domestic law of England.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.039
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.9610.946

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 head0.014
GPT teacher head0.186
Teacher spread0.172 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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