Deregulation and Liberalisation of the Airline Industry: Asia, Europe, North America and Oceania
Bibliographic record
Abstract
This book discusses the deregulation and liberalisation of the airline industry in Asia, Europe, North American and Oceania. The book is divided into eight chapters. The first chapter, An Overview of the World industry discusses many issues that are important in the context and airline regulation and deregulation. The chapter gives emphasis on international air services and the increase in growth of air passenger and cargo traffic in the last decade. The second chapter, Airline Deregulation in Asian Countries with emphasis on India, Indonesia, Japan, Malaysia, South Korea, and Thailand. Chapter Three, Airline Deregulation in Australia and New Zealand presents the deregulation of airlines with more emphasis placed on Australia over New Zealand. The chapter looks at the evolution of economic regulation in Australia, presents an assessment on the performance of a two-airline policy, and airline deregulation. Chapters 4, 5 and 6 discuss airline regulation, deregulation and liberalization in Canada, Europe and the United States. The final two chapters review the theory of airline deregulation in the United States and the effects of airline deregulation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".