Star Wars Storm Troopers, the Next Episode: Lucasfilm in the United Kingdom Supreme Court
Bibliographic record
Abstract
George Lucas's production company brought an action in England against an English resident (Ainsworth) and his company, who sold plastic replicas of Star Wars Imperial Storm Trooper helmets and armour over the Internet. Lucasfilm had initially sued Ainsworth in US District Court in California for copyright and trademark infringement in respect of his sales to customers in the US. Ainsworth, after his attorneys unsuccessfully challenged the court's jurisdiction, did not defend. Lucasfilm brought the present action in England, claiming inter alia to enforce the US judgment or, alternatively, to recover damages for infringement of US copyright law. The Court of Appeal held the US judgment could not be enforced in England, and that the English court lacked subject matter jurisdiction to entertain an action for infringement of a foreign copyright.The United Kingdom Supreme Court reversed the latter decision, holding that where foreign intellectual property rights do not depend on the state of a foreign registry, they are justiciable by an English court. Canadian courts have not had occasion to consider the question of subject matter jurisdiction in claims involving foreign intellectual property rights. When they do, the Lucasfilm case is likely to be highly persuasive in negating any general bar to such claims.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.005 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.017 | 0.013 |
| Insufficient payload (model declined to judge) | 0.008 | 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".