Report on the European Air Law Association 9th Munich Liability Seminar: Liability, Insurance and Reinsurance, Passenger Rights and Procurement of Legal Services in the Air Transport and Aircraft Fina
Bibliographic record
Abstract
The 9th edition of the European Air Law Association (EALA) Munich Liability Seminar took place on the 19 May 2014. There were panels addressing current issues in private air law: passenger rights and the proposed revision of Regulation 261/2004; criminalization of aviation accidents and accident reporting; assessment of the Montreal Protocol 2014, amending the Tokyo Convention 1963, including the problem on unruly passengers. The seminar also included a presentation of reinsurance in the aviation sector from Munich Re. The seminar touched on space law with a panel consisting of two presentations on the topic of liability for damage caused by sub-orbital spacecraft. The seminar concluded with an in-house counsel panel of current trends in the procurement of legal services. On 19 May 2014 the Kempinski Hotel Airport Munich once again played home to the European Air Law Association (EALA) Munich Liability Seminar, this time back for its 9th edition. The seminar itself was preceded the previous night by a visit to the BMW Museum, which included a private tour of the exhibition. The following morning, the President of EALA, Prof. Dr P.M.J. Mendes de Leon, gave his welcoming address to the delegates, noting the international appeal of the seminar's programme, evidenced by the attendance of so many delegates from the United States. Dr Ehlers, reiterating the warm welcome to the delegates gave the floor to Dimitri de Bournonville, Partner at Kennedys Law Firm in Brussels, and moderator of the day's first panel.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.015 | 0.008 |
| Insufficient payload (model declined to judge) | 0.066 | 0.026 |
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".