The Role of Contract Interpretation in Transfer-Pricing Law: Lessons from Canada
Bibliographic record
Abstract
The purpose of this article is to point out recent and significant developments that further support the author's call to acknowledge the necessary role of contract interpretation in the process of delineating the actual controlled transaction when conducting a transfer-pricing analysis. The first development refers to recent cases in which Canada's courts (1) have recognized the necessary role of contract interpretation in determining the true nature of a transfer-pricing arrangement, and (2) have exemplified the correct approach to identifying and applying the law of interpretation that governed the contractual terms. These cases ought to serve as an example to other ourts, in Canada and around the world, when delineating the true nature of controlled transactions for the purposes of the transfer-pricing analysis. The second development is the explicit recognition by the Organisation for Economic Co-operation and Development, in its newly revised transfer-pricing guidelines, of the necessary role of contract interpretation in the transfer-pricing analysis. Considering these developments, it is hoped and expected that courts will not overlook this necessary task of contract interpretation. The risk of such oversight is exemplified in this article by the Supreme Court of Canada's analysis in Canada v. GlaxoSmithKline Inc.
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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.018 | 0.028 |
| Scholarly communication | 0.016 | 0.009 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.009 | 0.012 |
| Insufficient payload (model declined to judge) | 0.006 | 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".