The Impact of Implementing a 25-Year Reversion/Termination Right in Canada
Bibliographic record
Abstract
Canada is actively considering legislation to limit the enforceable length of copyright transfers. Under current proposals, authors would either automatically get back their copyrights twenty-five years after a transfer or would have the opportunity to exercise an American-style termination right at year 25. This paper reports previously unpublished data from UK and Canadian book markets on the negative effect of term length on the in-print status of titles and also presents new data on the market effect of existing reversion rules deriving from the 1911 Imperial Copyright Act. Data on Canadian musicians who have used the US termination right to regain their US copyrights is also presented. The report concludes that some portion of consumer welfare losses caused by term extension in Canada may be offset by the adoption of a termination right. Although the report was prepared at the request of Canadian Heritage, a branch of the Canadian government, it represents only the views of the author.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".