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Record W2762382316

Competition and Subsidies in Air Transport Liberalization— The UAE-North America Dispute

2017· article· en· W2762382316 on OpenAlexaboutno aff
Rachid Tiroual

Bibliographic record

VenueSMU Scholar (Southern Methodist University) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidyLiberalizationCompetition (biology)International tradeBusinessInternational economicsAir transportEconomicsMarket economyTransport engineeringEngineering
DOInot available

Abstract

fetched live from OpenAlex

Subsidy allegations against the three major Middle-Eastern carriers—Emirates Airlines, Etihad Airways, and Qatar Airways—have been brought by the three major U.S. carriers—American Airlines, Delta Air Lines, and United Airlines. The latter claim that the Gulf trio receives letters of credit and subsidies from their governments. They claim also that their rivals take passengers and revenues from U.S. carriers and force them to reduce, terminate, or forego services on international routes. This article rationalizes the ongoing debate without arguing whether the subsidy allegations are founded or not. It seeks to understand the basic rationale behind any findings and conclusions drawn by the different stakeholders that are involved or concerned by the subject. It is important to shed light on the conflicts of interests that might harm air transport development as a whole, and hence the fundamental right of the people: freedom of movement and, more specifically, the needs of the people for “efficient and economical air transport” prescribed by Article 44 of the Convention on International Civil Aviation. The focus is on the North American region. The air transport policies and competitive issues are addressed from different national and international perspectives, specifically, the International Civil Aviation Organization (ICAO), the World Trade Organization (WTO), national civil aviation authorities, and for-profit organizations. The analysis is based mainly on scientific data and legal and regulatory aspects, which are discussed through a case study of the United States and Canada on the one hand and the United Arab Emirates (UAE) on the other.

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)0.004
metaresearch head score (Gemma)0.007
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 score0.105
Threshold uncertainty score0.209

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0100.015
Scholarly communication0.0090.005
Open science0.0010.005
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0080.000

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 head0.019
GPT teacher head0.269
Teacher spread0.249 · 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
Published2017
Admission routes1
Has abstractyes

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