The Air Connectivity Index: Measuring Integration in the Global Air Transport Network
Bibliographic record
Abstract
The authors construct a new measure of \n connectivity in the global air transport network, covering \n 211 countries and territories for the year 2007. It is \n grounded in network analysis methods, and is based on a \n gravity-like model that is familiar from the international \n trade and regional science literatures. It is a global \n measure of connectivity, in the sense that it captures the \n full range of interactions among all network nodes, even \n when there is no direct flight connection between them. The \n best connected countries are the United States, Canada, and \n Germany; the United States' score is more than \n two-thirds higher than the next placed country's, and \n connectivity overall follows a power law distribution that \n is fully consistent with the hub-and-spoke nature of the \n global air transport network. The measure of connectivity is \n closely correlated with important economic variables, such \n as the degree of liberalization of air transport markets, \n and the extent of participation in international production \n networks. It provides a strong basis for future research in \n areas such as air and maritime transport, as well as \n international trade.
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How this classification was reachedexpand
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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".