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Apectos jurídicos principales de las aeronaves no tripuladas. Consideraciones críticas. / Main legal aspects of unmanned aircraft. Critical considerations.

2022· article· es· W4213439877 on OpenAlexaboutno aff
Marco Fábio Morsello

Bibliographic record

VenueRevista de Derecho Privado │Universidad Blas Pascal · 2022
Typearticle
Languagees
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesContext (archaeology)LiabilityPolitical scienceConventionPhilosophyLawGeography

Abstract

fetched live from OpenAlex

Los UAS son aeronaves sui generis que se someten, así, al régimen genérico de estas. No obstante, hay peculiaridades que imponen reglamento específico, siendo necesaria la edición de Convención internacional que dé uniformidad a la materia, de modo que albergue en clara actividad de riesgo, niveles de seguridad idénticos a las aeronaves convencionales, con la finalidad de utilización del espacio aéreo no segregado. En ese contexto, se impone la utilización de sistemas de prevención superadores del binomio see and avoid, abarcando la nanotecnología, sin descuidar de los derechos fundamentales. Finalmente, en el ámbito de la responsabilidad por daños a terceros en la superficie, las bases de cálculo de indemnización establecidas en la Convención de Roma y Protocolo de Montreal, son absolutamente incompatibles con la realidad fáctica de los UAS y del régimen de responsabilidad extracontractual objetiva. ABSTRACTThe UAS are ‘sui generis’ aircrafts that submit themselves, therefore, to the general regime of those. Regardless of it, there are some peculiarities that impose specific regulation, being necessary the creation of an international Convention capable of standardize the subject, in order to be considered as a clear risk activity (strict liability system), hence imposing the same security standards as the ones of conventional airplanes, aiming the use of non-segregated airspace. In this context, the use of prevention systems that surpasses the binomial ‘see and avoid’ imposes itself, embracing nanotechnology, without ignoring fundamental rights. Finally, in scope of the liability related to damages to third parties in surface, the basis of calculation regarding the compensation provided by the Rome Convention and the Montreal Protocol are absolutely incompatible with the factual reality of the UAS and strict liability related to tort rules.

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)0.010
metaresearch head score (Gemma)0.014
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: Other · Consensus signal: Other
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0090.021
Scholarly communication0.0100.008
Open science0.0030.004
Research integrity0.0160.018
Insufficient payload (model declined to judge)0.0100.003

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 head0.017
GPT teacher head0.306
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 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
GenreOther

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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