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Record W7117574388 · doi:10.32084/tkp.10232

Carriers Responsible for Damage in the Carriage of Goods Performed by Several Carriers

2025· article· W7117574388 on OpenAlexaboutno aff
Krzysztof Wesołowski

Bibliographic record

VenueTeka Komisji Prawniczej PAN Oddział w Lublinie · 2025
Typearticle
Language
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsnot available
Fundersnot available
KeywordsCarriageRedressDamagesLiabilityProspectusConventionAir transportPlaintiff

Abstract

fetched live from OpenAlex

This article aims to determine against which of several carriers involved in the performance of unimodal transport (by means of one mode of transport) the person originally entitled (sender or recipient of the consignment) may pursue claims for damages arising in connection with such transport. It comments on the provisions of international conventions governing in a uniform manner the contract of carriage in rail, air and road transport (RU/CIM, Montreal Convention, CMR) and in Polish domestic law (Civil Code, Transport Law). The discussion addresses two types of transport performed by several carriers – successive carriage and subcontracted carriage. The author points out the diverse regulations provided in the conventions, with their evolution intended to eliminate the differences between successive and subcontracted carriage by introducing joint and several liability of the contracting carrier and his subcontracting carrier for damage caused by the latter and allowing the possibility of direct redress by entitled persons against the subcontracting carrier. This solution, as well as changes in the market of transport services (liberalisation, demonopolisation), deems, in the author’s opinion, the institution of successive carriage redundant. Therefore, the paper postulates that it be abandoned in the future Polish regulation of the contract of carriage, with the introduction – as do the RU/CIM and the Montreal Convention – of the possibility for the entitled person to pursue claims against the subcontracting carrier for damages caused by him.

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)0.003
metaresearch head score (Gemma)0.009
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 score0.011
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0030.004
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.027
GPT teacher head0.293
Teacher spread0.266 · 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
Published2025
Admission routes1
Has abstractyes

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