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Record W3165908521 · doi:10.54007/ijmaf.2021.13.2.53

Liability Implications of the Rotterdam Rules for Indian Dry Ports

2021· article· en· W3165908521 on OpenAlexaff
Girish Gujar, Sik Kwan Tai, Adolf K.Y. Ng

Bibliographic record

VenueKMI International Journal of Maritime Affairs and Fisheries · 2021
Typearticle
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPort (circuit theory)LiabilityContext (archaeology)Container (type theory)RatificationBusinessContainerizationLawOrder (exchange)International tradeFinanceEngineeringPoliticsPolitical scienceGeography

Abstract

fetched live from OpenAlex

The carrier’s liability during the sea leg of transportation is quite unambiguous. However, the shipper’s concerns during the land leg remain yet to be adequately addressed. In India, the land leg of container transportation between gateway ports and dry ports is conducted by the road/rail transporters appointed by the carrier or the dry port operators. The inland transportation of containers, however, is governed by different legal instruments, the provisions of which are not congruent, especially with regard to the liabilities and responsibilities of the dry port operator against the carrier. Understanding such deficiency, this paper attempts to ascertain the implications of ratifying the Rotterdam Rules for India’s existing maritime law regime, especially those applicable to dry ports. We examine the maritime law regimes of different countries which are already signatories to the Rotterdam Rules and apply a similar reasoning in the Indian context. We conclude that one of the effects of ratification by India would be the reduction of ambiguities concerning the liabilities of dry port operators, being now considered a maritime performing party. Consequently, dry port operators would now be held responsible for container security and thus would be perforce to exercise due diligence in discharging its duties as a custodian of the cargoes in its charge. In addition to the efficiency gains that such development would bring about, it would be beneficial for the evolution of an appropriate container security policy for the Indian dry ports sector.

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 score0.270
Threshold uncertainty score0.424

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 head0.009
GPT teacher head0.214
Teacher spread0.205 · 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
Published2021
Admission routes1
Has abstractyes

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