Global Airport Resilience Index: Towards a comprehensive understanding of air transportation resilience
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Estimating the vulnerability of airport outages on the air transportation system is an ongoing research challenge. While existing studies are predominantly focused on the analysis of the air-side airport network, with airports being nodes and links representing direct flights, in this study we propose the so-called Global Airport Resilience Index for worldwide airports which incorporates ground infrastructure as well as population distribution for the computation of an integrated resilience index that estimates the effects of airport disruptions on the entire system. Based on the Global Airport Resilience Index of airports, we can derive realistic assessment for airport resilience worldwide, where a more important airport has a higher index value. The inherent challenges in data management and computation are significant and require sophisticated solutions. Overall, we believe that our study provides novel insights into air transportation and airport resilience, by consideration of a more realistic resilience estimation measure.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it