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Record W4312987679 · doi:10.17721/2519-4801.2022.1.03

Protecting Portable Heritage during War: A Comparative Examination of the Approaches in Italy during World War Two and in Ukraine during the Russian Invasion of 2022

2022· article· en· W4312987679 on OpenAlex

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

VenueText and Image Essential Problems in Art History · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsQueen's University
Fundersnot available
KeywordsSafeguardingCultural heritageWorld War IIWork (physics)Political scienceHarmonizationEnvironmental protectionEnvironmental planningLawGeographyEngineeringAestheticsArt

Abstract

fetched live from OpenAlex

In response to the urgent necessity of protecting cultural heritage in Ukraine in the wake of the Russian invasion, this article explores the approaches recently adopted in Ukraine to safeguard portable objects by providing an extended comparison with the methods used in Italy during World War Two. Three components of the procedure for protecting moveable objects are investigated: preliminary planning through the creation of lists of museum collections to determine priorities for safeguarding; the selection and preparation of storage deposits to shelter the objects; and the work of packing and moving boxed items to the deposits. Attention also is given to the obstacles encountered during WWII in Italy that hampered the protection of moveable heritage. The purpose is to probe whether the same problems have been met in Ukraine and if they have been circumvented or not. While the difficulty of protecting heritage during conflict is understood, even in the case of portable heritage materials, this comparison of recent methods in Ukraine to the work in Italy in the early 1940s highlights the continued use of traditional methods, albeit with adaptations, because they are effective. However, some of the same obstacles also have persisted, suggesting the potential to search for better solutions. Emphasis is placed on the abundant cultural holdings in religious institutions, which may fall outside the protective compass of national heritage initiatives and, therefore, be particularly vulnerable during war. This study also acknowledges some of the novel characteristics of the protection of moveable heritage in Ukraine and notes the impressive help that is being offered in innovative ways by heritage agencies and organizations outside the country.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.033
GPT teacher head0.223
Teacher spread0.190 · 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