Legality of the Parody Exception in Light of International Treaties and Domestic Copyright Laws
Bibliographic record
Abstract
Abstract This chapter examines the legality of the parody exception in light of international treaties and domestic copyright laws. More specifically, it considers whether the parody exception may only be introduced into national copyright law if it satisfies the three-step test enshrined in international treaties. The chapter first traces the history and evolution of copyright law before explaining whether copyright law requires a specific parody exception and why a specific parody exception rectifies the balance between right-holders, users, and subsequent authors. It then discusses the three-step test, first incorporated into the Berne Convention to protect the ‘right of reproduction’, and its adoption in European Union texts and national legislations. It also outlines the differing interpretations of the three-step test and concludes with an analysis of whether the current parody exceptions in each of the five jurisdictions (France, Australia, Canada, the United States, and the United Kingdom) comply with this test.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".