Copyright Competition: The Shifting Boundaries of Convergence Between U.S. and Canadian Copyright Regimes in the Digital Age
Bibliographic record
Abstract
The great copyright debate between protecting creators and encouraging information-sharing has always been a contentious and likely unresolvable battle. However, with the crafting of new legislation designed to rein in unscrupulous sharing in the age of online sharing and piracy, the discussion grows ever more heated. The economies of Canada and the U.S. have always been intertwined, and in a copyright context, this has never been clearer. Since Canada began to appear on the U.S. “Special 301” piracy reports, the two nations have been locked into a system of promulgating ever-more restrictive copyright policy, the logical extreme of which may be to chill creative production entirely. This Note argues that the U.S. and Canada should examine each others’ less restrictive policies, such as Canadian statutory damages and notice-and-notice, and U.S. anti-circumvention, so that balanced copyright regimes may exist on either side of the border.
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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 | 0.001 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".