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Las reclamaciones de los pasajeros de avión en el ámbito de la Unión Europea: ¿un agujero negro en la protección del consumidor? Un análisis en clave de competencia judicial internacional

2023· article· es· W4389791179 on OpenAlexaboutno aff
Juan Manuel Velázquez Gardeta

Bibliographic record

VenueBoletín Mexicano de Derecho Comparado · 2023
Typearticle
Languagees
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophyArt

Abstract

fetched live from OpenAlex

Este trabajo da un repaso a todas las sentencias dictadas por el TJUE como consecuencia de las cuestiones prejudiciales planteadas por diferentes tribunales nacionales sobre la determinación de la competencia judicial internacional en materia de contratos de transporte aéreo de pasajeros. Las reclamaciones en base a las compensaciones establecidas en el Reglamento 264/2001 y a las indemnizaciones del Convenio de Montreal han obligado al TJUE a interpretar la interacción entre ambas normas y sobre todo el término lugar de cumplimiento de la prestación del artículo 7.1a) del Reglamento Bruselas I-bis desde la seminal sentencia Rehder. El TJUE, en sus decisiones ha ido acercando el nivel de protección del consumidor pasajero de avión al régimen general de los arts. 17-19 del Reglamento Bruselas Ibis, consiguiendo que en muchos casos el forum actoris del pasajero demandante sea una realidad de facto. Partiendo de que queda un largo camino por recorrer para la equiparación entre ambos consumidores, habría que concluir que la función del TJUE a través de su jurisprudencia será fundamental también en el futuro para que el derecho a la tutela judicial efectiva tenga el mismo contenido en ambas categorías de consumidores al menos en el ámbito de la Unión Europea.

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)0.004
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: none
Teacher disagreement score0.175
Threshold uncertainty score0.347

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.014
GPT teacher head0.335
Teacher spread0.321 · 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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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