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Record W2968873449

ANADOLU MEDENİYETLERİ MÜZESİ’NİN MEKÂNSAL VE YAPISAL ÖZELLİKLERİNİN ÖNLEYİCİ KORUMA BAĞLAMINDA İRDELENMESİ

2019· article· tr· W2968873449 on OpenAlexaboutno aff
Fatma Sezin DOĞRUER

Bibliographic record

VenueDergiPark (Istanbul University) · 2019
Typearticle
Languagetr
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Öz Müzelerde yer alan koleksiyon için sergide, depoda veya taşındıkları sırada koruyucu bir ortam oluşturulup, bu ortamın korunması gerekmektedir [1] ve bu amaçla önleyici koruma çalışmaları yürütülür Bu çalışmalar, müzelerdeki eserlere zarar veren etkenlerin engellenmesi, sınırlandırılması veya minimuma indirgenmesi amacıyla gerçekleştirilen uygulamalardır. Müze koleksiyonlarının maruz kaldığı bozulma etkenleri, fiziksel kuvvetler, hırsızlık ve vandalizm, yangın, su, zararlılar, kirletici maddeler, morötesi ve kızılötesi ışınlar ile uygun olmayan ışık, sıcaklık ve bağıl nem olarak tanımlanmaktadır. Bu bozulma etkenlerinin önlenmesi, sınırlandırılması, tespiti veya bunlara müdahale edilmesi amacıyla yapılan mekânsal ve yapısal düzenlemeler sayesinde müze koleksiyonunda etkin koruma uygulamalarına gerek duyulmadan koruma sağlanmaktadır (Kanada Koruma Enstitüsü 2015). Tarihi binalardan dönüştürülen müzelerde, müzecilik ve koruma bakımından gerekli mekânsal ve yapısal düzenlemeler, binada yürütülen restorasyon ve teşhir-tanzim çalışmaları sırasında yapılmaktadır. Tarihi binaların koleksiyonun bir parçası olarak düşünülmesi ve yapının bozulmalara karşı korunması gerekmektedir (Kökten 2007: 59). Makale kapsamında 1930’lu yıllarda 15. yüzyıl yapılarından devlet müzesine dönüştürülen Anadolu Medeniyetleri Müzesi’nin mekânsal ve yapısal özellikleri önleyici koruma bakımından incelenmiştir. Anahtar Sözcükler: Müzecilik, Müze Tasarımı, Müze Projesi, Önleyici Koruma, Bozulma Etkenleri Abstract A protective environment should be created and maintained for the museum collection in the exhibition or storage areas; or during its transportation (ICOM 2006); and for this purpose preventive conservation works are done. These works are the practices that are carried out in order to prevent, limit or minimize the deterioration agents for the artifacts in the museums. The agents of deterioration, to which artefacts are exposed, are defined as physical forces, thieves and vandals, fire, water, pests, pollutants, improper light, ultraviolet and infrared, improper temperature and improper relative humidity. Thanks to the spatial and structural arrangements in order to avoid, block and minimize these agents of deterioration, museum collection’s conservation is provided without need of active conservation implementations (Canadian Conservation Institute 2015). In the museums converted from historical buildings, spatial and structural arrangements required in terms of museology and conservation are made during the restoration and exhibition works carried out in the building. Historical buildings should be considered as a part of the collection and the building should be protected against deterioration (Kökten 2007: 59). In the scope of the article, spatial and structural features of Anatolian Civilisations Museum, which is transformed from 15th century buildings into state museum in 1930s, were examined in terms of preventive conservation. Keywords: Museuology, Museum Design, Museum Project, Preventive Conservation, Agents of Deterioration [1] URL 1 http://icomturkey.org/tr/icom-m%C3%BCzecilik-etik-yasas%C4%B1

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0310.006

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 head0.037
GPT teacher head0.191
Teacher spread0.154 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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