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Record W7135220286 · doi:10.3126/tulj.v1i1.91654

Air Carrier Liability: An Overview of Legal and Practical Aspect in Nepal

2025· article· W7135220286 on OpenAlexaboutno aff
Kabita Shrestha

Bibliographic record

VenueTribhuvan University Law Journal · 2025
Typearticle
Language
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsLiabilityConventionAviation lawGovernment (linguistics)Compensation (psychology)Aviation

Abstract

fetched live from OpenAlex

Warsaw Convention, 1929 and the Montreal Convention, 1999 are the two milestones achieved to make the Air regime reliable. Warsaw’s convention ensured limited liability and facilitated the infant aviation industry, while the Montreal Convention addressed genetic flaws resulting in inconsistent decisions by national courts also equitable compensation based on the principle of restitution. Nepal became a member of the Warsaw Convention on 13th May 1996, it ruled the Nepali Air space for almost 22 years. After the US-Bangla case, the government of Nepal showed commitment toward higher liability and ratified the Montreal Convention on December 15, 2018. The paper analyses both international conventions and ambiguity in the implementation of air carriers’ liability in the domestic sphere in Nepal.

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)0.002
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: Review · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0030.005
Scholarly communication0.0050.006
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.341
Teacher spread0.306 · 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
GenreReview

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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