Bibliographic record
Abstract
This chapter is designed to lay the ground for comparative study into legal interpretation in tax law. To that end, its goal is primarily descriptive. It is designed to address the kinds of factors that might support a comparative analysis of Canada’s approach to legal interpretation. Presumably, similarities and differences among countries might be identified and explained based on a set of factors, including the structure of government, the design of adjudication mechanisms (both administrative and judicial), the dominant philosophies of language, the historic practices of interpretation, the importance of legislative purpose and the extent to which external aids are relied upon, and the overarching norms of grammar and their interaction with legislative drafting.The chapter proceeds in nine parts. Section §4.02 describes the structure of Canadian government and the formal process for resolving tax disputes. Section §4.03 turns to an overview of the approach to legal interpretation, focusing largely on Canada’s Supreme Court’s approach in recent years. Section §4.04 explores more specific dilemmas of legal interpretation including how courts view the interpretation of tax laws compared to other legislative instruments, how tax law interacts with common law concepts, and how tax law and tax accounting are connected. Section §4.05 examines Canada’s use of interpretive aids, highlighting the role played by parliamentary documents, administrative guidance, and secondary materials and materials from other jurisdictions. Section §4.06 reviews the use of interpretive conventions. Section §4.07 reflects on the impact of the general anti-avoidance rule (GAAR) on interpretive approaches. Sections §4.08 and §4.09 offer brief reflections on variations in the interpretation of the goods and services tax (GST) and the interpretation of tax treaties. Section §4.10 concludes.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.012 |
| Science and technology studies | 0.025 | 0.009 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".