International Air Cargo in Time of Crisis: Global Challenges and Modal Shift Provide Transformational Opportunity in Commerce and Law
Bibliographic record
Abstract
The current pandemic has elevated the critical need for a dependable, resilient, air cargo supply chain to the forefront of commercial and legal discussion. Throughout its history, air cargo has evolved in parallel with other unimodal means of cargo transport into a global multimodal transport paradigm. The unimodal legal regimes governing individual modes of cargo transport have not kept pace with the growth and development of global cargo transport and its associated legal issues. The unimodal regimes do not adequately reflect the relational, commercial, and operational realities of the contemporary global multimodal supply chain. The authors identify key changes in air cargo and multimodal supply chain logistics and relationships, and discuss the resulting contemporary legal issues that have emerged and must be addressed. The authors advocate that a multimodal cargo transport regime is needed to reflect these current realities and to accommodate future multimodal evolution. At a minimum, update and integration of the Warsaw, Montreal, and CMR conventions is indicated. The authors emphasize the essential need for continued integration of new technologies and complete digitalization of the air cargo supply chain in order adequately to prepare for the global multimodal cargo transport paradigm of tomorrow. aviation, air cargo, CMR, Warsaw Convention, Montreal Convention, unimodal, multimodal, global multimodal supply chain, digitalization, technology
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| 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".