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Record W4405983433 · doi:10.1515/geo-2022-0755

Qualitative insights into cultural heritage protection in Serbia: Addressing legal and institutional gaps for disaster risk resilience

2024· article· en· W4405983433 on OpenAlex
Vladimir M. Cvetković, Stefan Gole, Renate Renner, Vladimir Jakovljević, Tin Lukić

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOpen Geosciences · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicConservation Techniques and Studies
Canadian institutionsInternational Institute for Sustainable Development
Fundersnot available
KeywordsResilience (materials science)Cultural heritageEnvironmental planningQualitative researchPolitical scienceEnvironmental resource managementBusinessGeographySociologyLawAnthropologyEnvironmental science

Abstract

fetched live from OpenAlex

Abstract This research is dedicated to a comprehensive exploration of the strengths and weaknesses inherent in the legal and institutional measures established to safeguard cultural heritage in the Republic of Serbia against the adverse effects of disasters, including earthquakes, landslides, rockfalls, floods, torrents, storms, hail, and forest fires. The study seeks to identify key challenges and shortcomings within the existing legal and institutional framework while also highlighting and analyzing best practices and potential avenues for improvement in the protection system. The research posits a preliminary hypothesis suggesting that significant challenges exist within the current framework, potentially hindering effective response and recovery efforts following natural hazards. Data collection involved semi-structured interviews with field experts and an in-depth analysis of existing documentation. These methods were aimed at gathering critical data and insights to enhance the understanding of systemic issues and contribute to developing practical, viable solutions. The analysis and processing of the collected data were conducted using ATLAS. ti software, enabling a detailed and systematic examination of qualitative information. Moreover, assessing the current capacity of institutions to respond swiftly and effectively to natural hazards that threaten cultural heritage formed a central aspect of this study. The findings reveal notable deficiencies in the legal framework, inadequate institutional capacities, limited resources, and insufficient training for disaster response. The results underscore the pressing need for improved inter-institutional cooperation and the development of technical and logistical capabilities. To address these issues, the study recommends aligning legal frameworks with international standards, securing increased funding for technical resources, and implementing specialized training programs for institutional staff. This article makes a significant contribution to advancing the understanding and enhancement of the cultural heritage protection system in Serbia, offering actionable insights and a robust foundation for further research and strategic development in this critical area.

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.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0010.002
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 head0.128
GPT teacher head0.383
Teacher spread0.255 · 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