Beyond Refusal to Deal: A Cross-Atlantic View of Copyright, Competition and Innovation Policies
Bibliographic record
Abstract
Conventional wisdom holds that the European Union has opted to apply its competition law to the exercise of intellectual property rights to a much greater extent than has the United States. We argue that, at least in the context of copyright protection, this conventional wisdom is false. While European antitrust regulation of refusal to license one's intellectual property does seem much more robust and activist than U.S. antitrust regulation of similar conduct, focusing solely on one narrow aspect of antitrust doctrine — the treatment of a unilateral refusal to deal — tells less than half the story.Once various doctrines of copyright law are taken into account, the substantive difference between the European and American approaches not only narrows, but in some key respects is reversed. While European jurisdictions have relatively expansive copyright protection which may require antitrust intervention to check anti-competitive uses of copyrighted works, American copyright law provides stronger internal limits on copyright protection, which thereby lessens the need for resort to antitrust law as an external check on anti-competitive uses of copyrighted works. Furthermore, when the broader impact that antitrust law might have on the exercise of IPRs in the United States is considered (not only in substance, but also in antitrust process), it becomes apparent that in key respects, when innovative-competition is at stake, U.S. law grants overall weaker copyright protection than that available in Europe. We also explain why the two jurisdictions have adopted distinct approaches to resolving similar problems and evaluate those approaches.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.028 |
| Scholarly communication | 0.022 | 0.024 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 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".