Copyright User Rights and Remedies: An Access to Justice Perspective
Bibliographic record
Abstract
In contemporary copyright law, there is an ongoing debate around the nature and scope of the rights users should have to copyright works, exacerbated by ongoing technological developments. Within that debate, this article queries the value of looking at the remedies users may have against copyright holders restricting their legitimate uses of works, as a means to further elucidate the nature and scope of user rights. While there is some value in looking at remedies to situate copyright user rights, an access to justice perspective to rights and remedies suggests that such approach may be too limiting with respect to the position of potential claimants in a legal system. On that basis, this paper identifies structural deficiencies of copyright user rights and proposes an analytical framework towards achieving greater “justice for users” both in the realm of public law and private law.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.024 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.010 | 0.091 |
| Scholarly communication | 0.019 | 0.028 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.015 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 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; a candidate call from one source (direct Gemma or distilled Codex), 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".