Regional jet aircraft competitiveness: challenges and opportunities
Bibliographic record
Abstract
The regional jet aircraft is a unique market niche. Particularly suitable for providing capacity in the 30 to 90 seat range, these jets are often used to connect smaller airports to network carrier hubs, as well as to fill in during slow periods. The market is currently dominated by two manufacturers: Brazil’s Embraer and Canada’s Bombardier. Due to the nature of the global aircraft industry, Embraer and Bombardier are largely dependent on the international sale of their aircraft for steady revenue streams. Orders and deliveries of aircraft with fewer than 100 seats have grown rapidly over the past ten years. The study provides an overview of the aviation industry, particularly in the regional jet (RJ) sector, and examines country-specific factors affecting the number CRJ and ERJ deliveries. Results of stepwise regression indicate that a two-year lag of GDP, a two-year lag price of crude oil, a two-year lag of prior aircraft deliveries, and the country-specific land areas account for almost 40% of the variance in the aircraft deliveries. However, there are many additional factors which have an effect on RJs orders and deliveries.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
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".