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Record W2076627995 · doi:10.1080/09557571.2014.960811

Hand in hand against climate change: cultural human rights and the protection of cultural heritage

2014· article· en· W2076627995 on OpenAlexaboutno aff
Sylvia Maus

Bibliographic record

VenueCambridge Review of International Affairs · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsCultural heritageCultural rightsHuman rightsCultural heritage managementEnvironmental ethicsClimate changePolitical scienceCovenantContext (archaeology)NormativeFundamental rightsIndustrial heritagePolitical economySociologyLawGeographyArchaeology

Abstract

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AbstractWithin 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. Notes1 The petitions concerned the Belize Barrier Reef, Huascaran National Park and Sagarmatha National Park and were filed together with a report on Australia's Great Barrier Reef; see petitions and press release at < http://www.climatelaw.org>.2CitationThe Operational Guidelines for the Implementation of the World Heritage Convention are developed and regularly updated by the World Heritage Committee. They contain precise criteria for the implementation of the Convention, including for the inscription of properties on the World Heritage List and the List of World Heritage in Danger; see < http://whc.unesco.org/en/guidelines/>.3 Mitigation is defined as 'an anthropogenic intervention to reduce the sources or enhance the sinks of greenhouse gases'. For further elaboration, see Intergovernmental Panel on Climate Change, Working Group III (Citation2001).4 See, for example, Principle 15 of the 1992 Rio Declaration on Environment and Development and Article 3 (3) of the 1992 UNFCCC, Article 3 (3).5 Operational Directives for the Implementation of the Convention for the Safeguarding of the Intangible Cultural Heritage. Adopted by the General Assembly of the States Parties to the Convention at its fourth session, 8 June 2012, < http://www.unesco.org/culture/ich/doc/src/ICH-Operational_Directives-4.GA-EN.doc>.6 For elaboration on this relationship, refer, for example, to Francioni (2011, 14f).7 An often-cited case is Ominayak, Chief of the Lubicon Lake Band v Canada, in which the HRC held that the destruction of the environment caused by oil and gas exploitation constitutes a violation of Article 27; see HRC, Communication No 167/1984, UN Doc CCPR/C/38/D/167/1984 (10 May 1990).8 For a general discussion of the issue of obligations under the ICESCR see, among others, van Hoof (Citation1984), Alston and Quinn (Citation1987) and Scheinin (Citation2001).9 < http://treaties.un.org/>, accessed 30 July 2013.The author wishes to thank the participants of the Panel Climate Change and Human Rights: A Common Research Agenda? at the 54th Annual Convention of the International Studies Association as well as the anonymous reviewers for their valuable comments and suggestions on earlier drafts.Additional informationNotes on contributorsSylvia MausSylvia Maus, LL.M., is the Scientific Coordinator and Researcher at the UNESCO Chair in International Relations at Technische Universität Dresden. Email: sylvia.maus@tu-dresden.de

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.960
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.060
GPT teacher head0.271
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations28
Published2014
Admission routes1
Has abstractyes

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