Bibliographic record
Abstract
Canadian Maritime Law is the leading scholarly text and reference work on maritime law in Canada. It covers the full scope of admiralty, shipping, and navigation issues in the Canadian and international contexts. Since the first edition, maritime law as legislated, judicially developed, and practised in Canada has evolved substantially. Four editors led a team of twenty-eight scholars, practitioners, and other field specialists from across Canada to produce a comprehensive text accompanied by extensive lists of legislation, international treaties, and cases, along with a detailed index.\nFor students and practitioners new to the field, the text uses plain language and defines all technical legal and shipping terms. For experienced legal and other practitioners, it affords the means to analyze maritime issues according to Canadian law, with due notice of its divergence from US and UK law and practice.\nThis text provides insights into the Canadian perspectives, content, experience, and practice in this field and will appeal to legal practitioners, government officials, academics, students, and all others engaged with the regulation of all types of navigation and shipping. Practitioners and scholars in other countries interested in international and comparative maritime law will also benefit from this fully updated work.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.016 | 0.004 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.098 | 0.016 |
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".