Hand in hand against climate change: cultural human rights and the protection of cultural heritage
Bibliographic record
Abstract
Within the debate on climate change and human rights, the field of culture, or cultural heritage in particular, plays a marginal role. At first glance, this seems reasonable, given the range of more concrete challenges people face in the context of climate change. However, the protection of cultural heritage is an important goal in its own right, even against the backdrop of other seemingly more pressing tasks. A human-rights-based approach to the debate on cultural heritage and climate change, it is argued, reinforces the international community's obligations to take necessary mitigation activities. Cultural rights and the corresponding duties, especially those under Article 15(1)(a) of the International Covenant on Economic, Social and Cultural Rights, have the potential to provide an effective additional normative basis for the protection of cultural heritage from the adverse consequences of climate change.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.031 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.014 | 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".