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Record W2526698424 · doi:10.5539/jpl.v9n8p44

The Study of Regulations Governing Shipping Bill of Lading in Iran Laws and International Trade Documents

2016· article· en· W2526698424 on OpenAlexvenueno aff
S. Koyestan Sharify, Ali Mohammad Mokarrami

Bibliographic record

VenueJournal of Politics and Law · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsnot available
Fundersnot available
KeywordsBill of ladingLawConventionBusinessInternational tradeGood faithPolitical science

Abstract

fetched live from OpenAlex

The present study deals with review of regulations governing shipping bill of lading in Iran laws and international trade documents through descriptive analysis. In this paper, it is tried to study the concepts of maritime transport contract, legal concept of vessel, shipping bill of lading and its components, the content of shipping bill of lading and its proofing aspects in international conventions and Iran law. The research findings indicate that shipping bill of lading is considered one of the valid documents in international trade and in accordance with the common trade, judicial procedures and the maritime code of Iran and Hamburg convention is considered as a common trade document. In Rotterdam convention, the capability of transferring written and electronic transport record and their transferring procedure as used in trade documents has been mentioned. The value and credit of shipping bill of ladings of goods embarked on deck or clean bill of lading in international trade made such bill of ladings be supported by trade code in international trade and conventions and local regulations of countries such that the transportation agents are prohibited from the right to prove negative of some contents of this document against the holder in good faith of shipping bill of lading.

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)0.006
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.008
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.282
Teacher spread0.240 · 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 designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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