Industrial Designs: A Comparative Overview between Canada and the United States
Bibliographic record
Abstract
In recent years, design protection has garnered interest for protecting the appearance of a product, particularly in view of high-profile cases worldwide. In Canada, a Federal Court decision recently clarified the principles applicable to industrial design infringement.The US and Canadian tests for infringement are similar in a number of respects. Although design infringement is assessed on the basis of an overall impression of the product, and thus calls for some subjectivity in assessing similarity, past decisions provide guidance for practitioners as to how close is “too close.” To that end, a review is provided of 19 successful industrial design infringement decisions, including a visual comparison between the registered design and product at issue. Also reviewed are the benefits of obtaining industrial design protection in Canada. The North American market is tightly integrated; many Canadian manufacturers and exporters view the United States as their main market, and US companies often have parts made in Canada. Obtaining design rights in a country that is the source of supply of infringing articles enables rights holders to stop infringement at its source. The relatively low cost of litigation in Canada, the lack of jury trials, and the ability to recover costs justify the expense of obtaining Canadian industrial design protection. Where the product has a unique function in addition to a unique appearance, rights holders should consider obtaining both patent and industrial design protection.
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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.024 | 0.051 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".