Bibliographic record
Abstract
This course focuses on the domestic and international economic regulation of air transport and also discusses safety and security regulation. Key themes are: Why do Governments regulate or deregulate markets for air transport? How do the economics of the aviation sector impact regulatory policies and vice versa? What are the legal regimes governing key issues of the aviation business, such as international routes, pricing, code-sharing, joint ventures, airline alliances, computer reservation systems, and airport slots? What is the relationship between sectoral airline regulation and competition law? What are the regulatory tools used by Governments as the means for regulating civil aviation? What is the nature of bilateral air transport agreements? What multilateral regimes govern the supply of aviation services? What are the present challenges and trends in the regulatory regime of air transport? Method of Evaluation: take home examination. Students also have the option of submitting a paper of 15-20 pages by the last day of class, in which case the examination will account of 75%, and the paper will account for 25%, of the final grade in the course. For a student who elects not to submit a paper, the take home examination will account for 100 % of the final grade. The take home examination is due 24 hours from the date the questions are picked up from the graduate studies office. Students may not collaborate with any other person in the preparation of the examination. Students may not exchange or provide any oral or written information, advice, or material relevant to this examination with or to any other person before grades are posted. “Any other person ” includes, but is not limited to, any other McGill University student. Students also are subject to the McGill University honor code, which can be found at:
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.780 | 0.706 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".