Intentional Destruction of Cultural Heritage and the Law: A Research Companion
Bibliographic record
Abstract
The widespread dissemination of videos of the destruction of world cultural heritage sites over the past two decades, such as the Buddhas of Bamiyan and the ancient Syrian city of Palmyra, have shocked the world. These acts are perhaps the clearest and most glaring examples of what is meant by the ‘Intentional Destruction of the Cultural Heritage of Humankind’ (IDCHH). The book explores in detail the remedies against IDCHH available under international law. These remedies are defined as all the lawful responses provided for both by customary law and by the special responsibility regimes created under the many substantive areas of international law. The examination includes UNESCO instruments and UN measures for the maintenance of international peace, mechanisms for the protection of human rights and those for the protection of investments, and international criminal justice outcomes through the decisions of the Permanent Criminal Court. Thus, the book explores avenues for response such as appeals to international courts, peacekeeping operations and referrals to the criminal legislation of States, in addition to reparations. The concept of the Cultural Heritage of Humankind implies that IDCHH harms all States and all peoples and human groupings in the world, not only the State or people on whose territory the cultural property is located. The book identifies the international law avenues for subjects not directly injured by IDCHH to obtain its cessation and reparation. This book is essential reading for students, academics and practitioners exploring international law and the destruction of cultural heritage.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.016 | 0.017 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.028 | 0.003 |
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".