Objectivity and Statutory Interpretation: End Use in the Canadian Customs Tariff
Bibliographic record
Abstract
Summary The Harmonized Commodity Description and Coding System (Harmonized System) has been adopted by the major trading nations of the world, including Canada. Decisions of the European Court of Justice are influential for interpretation of the Harmonized System. According to these decisions, goods should be classified under the Harmonized System on the basis of their physical characteristics, while factors that relate to use after importation should be considered only if they are reflected in the physical characteristics. The author rejects this narrow approach and argues that interpretation will be successful only if it is done in light of the full commercial context, including use after importation, advertising, distribution, and market indicators such as price. The article reviews Canadian case law since implementation of the Harmonized System in 1988 as well as some decisions interpreting the pre-1988 Canadian nomenclature, which contained many tariff items that depended on the end use of goods after importation.
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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 | 0.015 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.017 | 0.031 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".