Bibliographic record
Abstract
At a time when the information society requires that copyright be increasingly harmonised, the author describes how the two main copyright traditions meet in Canada. The distinction between common law and civil law also exists in copyright law ; one then talks about « the copyright tradition » and about the author's right tradition, the continental tradition or the civil law tradition. The first half of this article deals with the characteristics of each System in light of the law s of four countries, two per system, which represent the major trends within each System. One of the goals of this exercise is thus to show how each tradition can include various tendencies. Canadian copyright law is examined in the second halfofthe article. The Canadian Copyright Act, which has grown out of the British copyright tradition, has undergone important changes on the occasion of its revision in 1988 and 1997. Some of the modifications resulted in the introduction of several author's rights notions. Other legislative and case law developments contribute to the understanding of the special nature of Canadian copyright law.
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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) | 0.017 | 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; both teacher heads agree on what is shown here.
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".