Still Lagging Behind: Diagnosing Judicial Approaches to ‘Bodily Injury’ Claims for Psychiatric Injury under the Montreal Convention of 1999
Bibliographic record
Abstract
International civil aviation is today a mature global industry, without which the modern world is unimaginable. That modern world increasingly recognises, in view of advancing medical science, that the dualist distinction between body and mind is artificial. Yet recent judicial interpretation of the term ‘bodily injury’ in the Convention for the Unification of Certain Rules for International Carriage by Air (‘Montreal’) of 1999 has revalidated this distinction by denying compensation for psychiatric injury in the field of international civil aviation. This article challenges that interpretation by explaining the physical nature of psychiatric injury with reference to medical literature and neuroimaging technologies. It argues that the ordinary meaning of ‘bodily injury’ across Montreal’s authentic texts encompasses psychiatric injury, supporting this construction by examining both Montreal’s travaux préparatoires and its parties’ municipal jurisprudence. After briefly addressing policy concerns, it concludes that national courts may permit recovery for pure psychiatric injury under Montreal.
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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 | 0.023 | 0.091 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.015 | 0.023 |
| Scholarly communication | 0.017 | 0.009 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.014 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".