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Record W2884379465 · doi:10.1115/1.2012-apr-9

The Coming Single-Aisle, Narrow-body Aircraft Bonanza

2012· article· en· W2884379465 on OpenAlexaboutno aff
Lee S. Langston

Bibliographic record

VenueMechanical Engineering · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicAviation Industry Analysis and Trends
Canadian institutionsnot available
Fundersnot available
KeywordsAisleGovernment (linguistics)AeronauticsEngineeringBusinessFinance

Abstract

fetched live from OpenAlex

This article describes the lucrative market for single-aisle narrow-body (SANB) commercial aircraft for the next 20 years. The SANB market has been the most lucrative for engine manufacturers. Boeing’s 737 and Airbus’s A320 families are powered by twin 30,000 pounds-thrust engines from CFM International or from International Aero Engines number in the many thousands. Of the 19,400 airplanes now in the worldwide air transport fleet, according to Airbus, for aircraft above 100 seats, 87% of all routes flown and 78% of all seats offered are in SANB airplanes. With the single-aisle jet liner market at record levels, not surprisingly, new players want a piece of this Boeing/Airbus duopoly pie. Both Airbus and Boeing have relied extensively over the last few years on customer financing support from export credit agencies such as the U.S. Export–Import Bank. The Russian and Chinese jets are government funded. Bombardier is getting Canadian and provincial government aid to develop the CSeries.

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)0.000
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0480.015

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 head0.030
GPT teacher head0.203
Teacher spread0.173 · 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
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

Citations2
Published2012
Admission routes1
Has abstractyes

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