Attachment Proceedings for Goods Onboard an Aircraft: A Closer Look at the OHADA Law on Simplified Recovery Procedures and Measures of Execution
Bibliographic record
Abstract
The practical application of international conventions like the Montreal Convention of 1999 and the OHADA Uniform Act of 2023 in the context of attaching goods onboard aircraft presents significant challenges. These frameworks do not explicitly address the attachment of such goods, focusing instead on liability and recovery procedures. The OHADA Uniform Act aims to simplify recovery processes but may struggle with conflicting national regulations and regional legal practices. The absence of specific legislation for attaching goods in-flight creates a critical gap, leading to uncertainty and inefficiency in enforcement. Addressing this gap in this paper requires developing targeted legal solutions that align with international standards while addressing the unique demand of air transport.
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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 | 0.016 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.017 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.016 | 0.017 |
| Insufficient payload (model declined to judge) | 0.005 | 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".