Классификация субъектов трансграничных авторско-правовых отношений
Bibliographic record
Abstract
The article is devoted to the identification of types of potential participants (actors) of cross-border copyright relations and their classification as authors and other rights holders (successors). On the basis of the fundamental international agreements - the Bern Convention for the Protection of Literary and Artistic Works of 1886 and the World Copyright Convention 1952, the author studies the question of legal capacity of individuals and legal entities from the point of view of their capacity to participate in cross-border copyright relations as authors and other rights holders. The author investigates the possibility of possessing the status of author and copyright holder by natural and legal persons in accordance with the national copyright law of the Russian Federation and some other countries (United Kingdom, Germany, United States, etc.). The article deals with the features of the status of the copyright holder in works of folklore based on legal regulation in a number of developing countries (Ghana, Tunisia, Bolivia, Chile, Morocco, Algeria, Senegal, Kenya, Mali, Burundi, Cote d'Ivoire, Iran, Barbados, Indonesia, Nigeria, etc.) and some developed countries (Canada, Cyprus, Sri Lanka). It is concluded that despite the fact that the Civil Code states that the status of the author can only be legally held by individuals as a result of authorship based on legal regulations previously ceased to be in force and effect at present, as well as due to ambiguity of interpretation of certain rules in the legislation; in fact, in RF both natural and legal persons can possess the status of the author. It is also concluded that due to the nature of the Convention and the national legal regulation in different States, overall, in individual States the status of the author can be held by either only natural or natural and legal persons; this fact should be taken into account when classifying the authorship in relation to cross-border copyright relations.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.006 |
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".