The Impact of the New Montreal Convention on International Air Transportation
Bibliographic record
Abstract
This paper presents the genesis of international aviation law and discusses the provisions of the 1999 Montreal Convention, which amended earlier international air carrier agreements. In the early days of international air travel many far-sighted individuals recognized that commercial aviation had enormous potential but unless the liability issues concerning the loss of passengers and cargo were resolved this potential would never be fully realized. As a result of these concerns the Warsaw Convention was drafted in 1929 and ratified in 1933. The Warsaw Convention protected the rights of passengers by requiring the payment of damages while at the same time capping liability limits for the airlines that caused their loss. In 1966 a meeting was held in Montreal that became known as the Montreal Convention and a bilateral agreement was consummated that effectively increased the damages awarded to passengers who suffered losses as the result of an accident. The 1999 Montreal Convention further amended the damage awards to persons who had suffered losses as the result of an accident. The provisions of the 1999 Montreal Convention are much fairer to the consumer and thus will result in less litigation for the loss of life, baggage and cargo.
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 | 0.012 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.007 | 0.014 |
| Insufficient payload (model declined to judge) | 0.013 | 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".