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Record W628828503

Examining the Standard of Care for Failure to Divert During In-Flight Emergencies

2014· article· en· W628828503 on OpenAlexaboutno aff
Gabriel D Kaim, Nicholas A Morrow

Bibliographic record

VenueIssues in aviation law and policy · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsJurisdictionLiabilityLawConventionSupreme courtStandard of reviewAviationCLARITYCommon lawBusinessPolitical scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

In-flight medical emergencies create challenging decisions for airline pilots. While the passenger would like to see the plane land as quickly as possible, diverting the flight is often dangerous, impracticable, or unnecessary. Airlines have developed routine policies and procedures in their efforts to provide the captain with some instruction and certainty in deciding whether to divert. There is less clarity, however, in the courts' review of the pilot's decision. Courts will apply a different standard of care depending on the type of flight and the jurisdiction in which the case is brought. On international flights (and domestic legs of international itineraries), a captain's decision to divert will be analyzed under the framework of Article 17 of the Montreal Convention. The Supreme Court has provided definitions for the relevant terms of the Convention, but as is often the case, further case law has been necessary to explain the definitions. On purely domestic flights, a captain's decision will either be subject to the general standard of care stated in the Federal Aviation Regulations or the more stringent state law common-carrier standard. Deciding between these two standards is matter of federal preemption, and there is not a consensus among the U.S. circuit courts on which standard should apply. After discussing and explaining the courts' approaches and interpretations in cases involving international and domestic flights, the article concludes that airlines should endeavor to protect themselves from liability by developing, installing, and applying standard practices for responding to in-flight medical emergencies.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.996

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 head0.015
GPT teacher head0.330
Teacher spread0.315 · 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
Published2014
Admission routes1
Has abstractyes

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