Bibliographic record
Abstract
Moral right is one of granted rights to author in literary and artistic property law. Unlike economic right which considers protection of financial and economic aspects of author's rights, the function of moral right is to protect author's Character creativity, immaterial aspects and social interests. Despite the attention of countries following copyright system to economic right and having utilitarian approach, necessities such as internal and international (like the results of accession to Berne Convention) requirements, compelled these countries including UK and US to accept moral right. However, this right in these countries has less important situation, more limited instances and time protection rather than countries following author's right system: for example, waiver of moral right in UK has been accepted extensively and the rights such as right of attribution and right of integrity are not applied about some works. Moral rights in Canada are limited into two rights of attribution and integrity and waiver of this right is allowed generally or partially. Australia has the most comprehensive statute on moral right, infringement and remedies about that. This research examines the causes of accepting moral right in copyright system through comparative study on some of countries following this system.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.065 | 0.032 |
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".