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Record W2890407294 · doi:10.1515/jetl-2018-0109

Liability for Means of Mass Transportation in Scandinavia

2018· article· en· W2890407294 on OpenAlexaboutno aff
Bjarte Askeland

Bibliographic record

VenueJournal of European Tort Law · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Law Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDamagesLiabilityConventionTrainLawPersonal injuryCommon lawNorwegianBusinessPolitical scienceForensic engineeringEngineeringHistory

Abstract

fetched live from OpenAlex

Abstract The article presents an overview of Norwegian law with regard to damages caused by means of mass transportation by buses, railways and airplanes. The author explains why and how in Norway, as elsewhere in Scandinavia, there is strict liability for damages caused by means of mass transportation. Also the assessment of damages in the mentioned categories is discussed. For personal injuries there are no caps for trains or buses, partly because a greater part of the loss of income is covered by social security benefits, something which is typical of the ‘Nordic model’. Along the same lines, the rules on contributory negligence favour the victim somewhat more than in other parts of Europe, with regard to accidents caused by both buses and trains. Hence the law is all in all rather friendly to the victim. As for damage caused by air traffic, there are tensions between the ‘victim-friendly’ attitude and the relevant EU regulations which make the Montreal Convention applicable to Scandinavian law. These tensions are discussed towards the end of the article. Thus the article highlights and illustrates how the Scandinavian legal culture with the ‘Nordic Model’ as its special hallmark endorses solutions that somewhat contradict the common solutions in continental Europe and in the UK.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.925
Threshold uncertainty score0.174

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.033
GPT teacher head0.321
Teacher spread0.288 · 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
Published2018
Admission routes1
Has abstractyes

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