Commercial Aviation: Potential Safety and Capacity Issues Associated with the Introduction of the New A380 Aircraft
Bibliographic record
Abstract
A letter report issued by the Government Accountability Office with an abstract that begins "Airbus S.A.S. (Airbus), a European aircraft manufacturer, is introducing a new aircraft designated as the A380, which is expected to enter service in late 2007. The A380 will be the largest passenger aircraft in the world, with a wingspan of about 262 feet, a tail fin reaching 80 feet high, and a maximum takeoff weight of 1.2 million pounds. The A380 has a double deck and could seat up to 853 passengers. GAO was asked to examine the impact of the A380 on U.S. airports. In May 2006, GAO issued a report that estimated the costs of infrastructure changes at U.S. airports to accommodate the A380. This report discusses (1) the safety issues associated with introducing the A380 at U.S. airports, (2) the potential impact of A380 operations on the capacity of U.S. airports, and (3) how selected foreign airports are preparing to accommodate the A380. To address these issues, GAO reviewed studies on operational and safety issues related to the A380 and conducted site visits to the 18 U.S. airports and 11 Asian, Canadian, and European airports preparing to receive the A380. GAO provided the Federal Aviation Administration (FAA) and Airbus a copy of the draft report for review. Both generally agreed with the report's findings. FAA and Airbus also provided technical clarifications, which were incorporated as appropriate."
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 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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".