Bibliographic record
Abstract
International Copyright Law and Practice is an annually updated treatise that integrates the global analysis of international copyright with in-depth chapters on national laws.In the National Chapters, experts explain the laws of Argentina, Australia, Belgium, Brazil, Canada, China, France, Germany, Greece, Hong Kong, Hungary, India, Israel, Italy, Japan, Korea, the Netherlands, Poland, Spain, Sweden, Switzerland, the United Kingdom, and the United States. To facilitate easier research, these chapters follow a common and intuitive outline answering your critical questions:• How are criteria of protectability formulated and construed?• What types of works and other productions are protected?• What special cases to consider: titles, designs, software, etc.• How are performances, recordings, databases, etc. covered?• How long do rights last? What durations for foreign works?• Who first owns rights? What rules govern diverse transfers?• What procedures govern registration, royalty rates, etc.• What conditions must be satisfied to protect foreign claims?• What moral and economic rights apply? How are they infringed?• Who may be liable: infringers, dealers, facilitators, hosts, etc.• What exceptions, legal licenses, etc. may serve as defenses?• How to obtain civil, criminal, and administrative remedies?
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.458 | 0.271 |
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".