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Record W4239369097 · doi:10.1079/9781789241488.0075

Air transportation.

2020· book-chapter· en· W4239369097 on OpenAlexaff
Peter Robinson, Michael Lück, Stephen W. Smith

Bibliographic record

VenueTourism · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAir transportDeregulationBusinessAviationTourismIndustrial organizationAir travelTransport engineeringEngineeringMarket economyPolitical scienceEconomics

Abstract

fetched live from OpenAlex

This chapter provides an overview of one of the most important modes of transport for tourism: aviation. It introduces important tools, such as code-sharing and yield management, and discusses regulatory frameworks and developments. It becomes clear that alliances and partnerships are important strategic functions in the air transport sector, ranging from joint ventures to large airline alliances. Many countries have followed the lead of the USA in terms of deregulation, but many areas of air travel are still highly regulated. Regulating bodies, such as industry associations (IATA) and inter-governmental organizations (ICAO) are discussed.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.838
Threshold uncertainty score1.000

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)0.0020.001

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 head0.019
GPT teacher head0.262
Teacher spread0.244 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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