Cultural Law: International, Comparative, and Indigenous
Bibliographic record
Abstract
Cultural law is a new and exciting field of study and practice. The core themes of linguistic and other cultural rights, cultural heritage, traditional crafts and knowledge, the performing arts, sports, and religion are of fundamental importance to people around the world, engaging them at the grass roots and often commanding their daily attention. The related legal processes are both significant and complex. This unique collection of materials and commentary on cultural law covers a broad range of themes. Opening chapters explore critical issues involving cultural activities, artifacts, and status as well as the fundamental concepts of culture and law. Subsequent chapters examine the dynamic interplay of law and culture with respect to each of the core themes. The materials demonstrate the reality and efficacy of comparative, international, and indigenous law and legal practices in the dynamic context of culture-related issues. Throughout the book, these issues are presented at multiple levels of legal authority: international, national, and subnational. The first comprehensive coursebook on cultural law Extensive coverage of cultural heritage and museum-related issues (five chapters) Multiple uses in the classroom (primary) and for professional reference [From Cultural law international comparative and indigenous | Comparative law | Cambridge University Press]
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.022 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".