Nature and Culture: A New World Heritage Context
Bibliographic record
Abstract
The understanding of the relationship between culture and nature as manifested in the UNESCO declarations and practices has changed over the last few years. The World Heritage Convention is continuing to evolve its definitions to reflect the increasing complexities of world cultures as they grapple with the heritage conservation policies that reflect their multiple stakeholders. They are also integrating a greater cultural perspective in their recent resolutions to the convention. Although the links between nature and culture have been clarified through this new attention to cultural landscapes, many countries and their bureaucracies have not yet adopted these new perspectives. The article suggests that to achieve an integrated approach to conservation, national, regional, and international bodies and their professionals must be involved. Two examples are discussed to address the shortcomings of the application of the convention and to illustrate the complexities of defining and conserving cultural landscapes.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.018 | 0.053 |
| Scholarly communication | 0.030 | 0.026 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".