The seizure and detention of aircraft by Canadian airports and the Convention on International Interests in Mobile Equipment : a critical analysis of non-consensual rights under the Unidroit regime
Bibliographic record
Abstract
Canadian airport authorities benefit from the right to seize and detain aircraft where airport charges remain unpaid. By objective measures, this right constitutes a preferred non-consensual right or interest that takes priority under Canadian law over all competing rights and interests in the aircraft subject to seizure and detention, including, for example, the interests of an owner, lessor or secured creditor. In this manner, airport authorities may recover outstanding user fees from both the airlines themselves and from the aircraft owners or lessors. The Unidroit Convention attempts to harmonise the law applicable to aircraft finance transactions. As such, it targets private law rights. However, its breadth and scope touch upon the statutory rights of third parties with non-consensual interests in aircraft, including those of airport authorities to seize and detain aircraft. The interplay between the Unidroit regime and the seizure and detention rights of Canada's airport is the focus of this academic discourse. It demonstrates that even though this right, recourse and remedy is of fundamental importance to Canada's National Airports System and its transportation infrastructure generally, the Unidroit Convention could, if implemented as drafted, effectively compromise the ability of Canadian airports to seize and detain aircraft.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.021 | 0.034 |
| Scholarly communication | 0.020 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".