Bibliographic record
Abstract
From 24 to 26 May 2011, the International Civil Aviation Organization (ICAO) hosted a Symposium on Global Runway Safety. The objectives of the Symposium were to highlight the evolution towards a more integrated safety management approach in ICAO's runway safety programme, coordinate a global effort for improving runway safety by identifying what a State can do to improve runway safety outcomes, identify a common framework for the enhancement of runway safety, promote and gain commitment from partners to deliver regional runway safety workshops across the globe, and identify content and format for subsequent runway safety workshops. The Symposium was held against the backdrop of ICAO Assembly Resolution A37-15 (Consolidated statement of continuing ICAO policies and associated practices related specifically to air navigation), which was adopted at the 37th Session of the Assembly held in Montreal from 28 September to 8 October 2010. Appendix P to the Resolution calls upon ICAO to keep under review the technical requirements for aerodromes and requests States to ensure that safety management systems are introduced at their aerodromes. States are also called upon to place greater emphasis on the management of aerodrome operations, with runway safety given a high priority. This article posits the basic fact that issues of runway safety require the standardization and harmonization of rules, which cannot all be ensured through regulation. It examines what has already been accomplished through ICAO and discusses certain proactive measures for runway safety in the future, using the outcome of the ICAO symposium as a backdrop to the discussions.
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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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.012 | 0.019 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.011 | 0.011 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".