Episode 98: Kim Nayyer on the Supreme Court of Canada?s Landmark Access Copyright v. York University Copyright Ruling
Bibliographic record
Abstract
The Supreme Court of Canada recently brought a lengthy legal battle between Access Copyright and York University to an end, issuing a unanimous verdict written by retiring Justice Rosalie Abella that resoundingly rejected the copyright collective?s claims that its tariff is mandatory, finding that it had no standing to file a lawsuit for copyright infringement on behalf of its members, and concluding that a lower court fair dealing analysis that favoured Access Copyright was tainted. Kim Nayyer is the Edward Cornell Law Librarian, Associate Dean for Library Services, and Professor of the Practice at Cornell Law School. She appeared before the Supreme Court in this case, representing the Canadian Association of Law Libraries as an intervener. She joins the Law Bytes podcast to talk about the case and its implications for the future of copyright, education, and collective rights management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.000 |
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 teacher head, 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".