Moral Rights: The Future of Copyright?
Bibliographic record
Abstract
August 20, 2009 Speaker: Mira T. Sundara Rajan, DPhil (Oxon) Canada Research Chair in Intellectual Property Law Associate Professor of Law University of British Columbia Presented by: Frederick K. Cox International Law Center Summary: This lecture will introduce the concept of the moral rights of the author, a special branch of copyright law dealing with the artistic, personal, and cultural interests implicated in copyright works. The session will seek to familiarize authors with the approach to moral rights in the United States and major international jurisdictions, including the European Union and United Kingdom, Canada, and India. Moral rights are an area of growing international importance, and there is a strong probability that moral rights claims and concerns will become increasingly common in an era of expanding digital technology. This seminar will help lawyers to identify moral rights issues in their practices, and to present effective arguments on moral rights claims, based on national and international copyright laws.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.028 |
| Scholarly communication | 0.013 | 0.020 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 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".