The 1996 WIPO Copyright Treaties: 10 Years Later. Panel 1: Drafting, Policy, and Implementation
Bibliographic record
Abstract
November 10, 2006 Center for Law, Technology and the Arts Cosponsored by: the Frederick K Cox International Law Center Summary: Fifth Annual LTA Symposium David Vaver, Professor of Intellectual Property and IT Law, University of Oxford Lydia Loren, Professor & Acting Dean, Northwestern School of Law of Lewis & Clark College Graeme Dinwoodie, Professor, Associate Dean, Director of the Program in IP Law, Chicago-Kent College of Law Mira Sundara Rajan, Canada Research Chair in Intellectual Property Law, University of British Columbia, Vancouver In 1996, the World Intellectual Property Organization (WIPO) adopted two treaties pertaining to copyrights in the digital age the Copyright Treaty, and the Performances and Phonograms Treaty. As a result, legislatures from signatory countries, including the U.S., adopted various revisions to their copyright legislation. In the U.S., this included the enactment of the Digital Millennium Copyright Act as well as attempts to draft legislation to protect proprietary interests in valuable commercial databases. This year marks the 10th anniversary of the treaties. The symposium will provide a 10-year retrospective on the legal and policy issues underlying the adoption of the treaties and the ramifications of the implementation of relevant treaty provisions into local law. The symposium will include speakers from the U.S. and various other jurisdictions to compare legislative and judicial approaches to a number of issues arising under the WIPO treaties.
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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 | 0.016 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.017 | 0.011 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.026 | 0.015 |
| Insufficient payload (model declined to judge) | 0.033 | 0.017 |
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".