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Record W7111745576

Koruma ve ekonomi arasında: kentsel miras alanlarının sürdürülebilirliği için sosyo-kültürel ve ekonomik değerleri ortak paydada buluşturmak.

2018· other· en· W7111745576 on OpenAlexaboutno aff

Bibliographic record

VenueOpenMETU (Middle East Technical University) · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCultural heritageIndustrial heritageContext (archaeology)Cultural heritage managementExpropriationIntervention (counseling)Urban planningControl (management)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Conservation of cultural heritage is a ‘value’ based practice. The scholars in the fields of conservation and cultural economics have been aware of the co-existence of different values including economic as well as socio-cultural ones. Both the preservationist and economist approaches emphasize the subjectivity of ‘values’ that change according to time, context and the interests of different agents when intervention decisions about heritage places are at stake. The heritage places located at the center of cities have become the arena of various interventions due to their values. To control the potentially destructive impact of interventions, heritage places in Turkey are subject to regulations for their conservation. However, in recent years, new policy instruments have been configured in order to overcome the existing control mechanisms and allow extensive interventions on heritage places in line with the interests and priorities of decision makers in Turkey. Law No. 5366/2005 on Renovating, Conserving and Actively Using Dilapidated Historical and Cultural Immovable Assets which was introduced for the transformation of renewal areas located within the boundaries of registered urban heritage places is one of the examples of new policy instruments. In order to understand different intervention approaches in urban heritage places located within renewal areas, three urban heritage places in three different contexts are chosen for this study: Tarlabaşı in İstanbul, Hacı Bayram Square with its surrounding in Ankara and Kemeraltı-Konak in İzmir. In Tarlabaşı, due to the central location of the urban heritage place, the objective became to propose new luxurious living quarter through the expropriation of private properties and the displacement of residents. In Hacı Bayram Square and its surrounding, the aim was to create a new religious center by destroying the archaeological remains belonging to Roman Period, reconstructing old buildings and constructing new buildings using pseudo traditional architectural language. In Kemeraltı-Konak, the social and cultural interests of decision makers have prevailed and interventions are proposed through the participation of different stakeholders to provide consensus between their values. The interventions in these three heritage places showed that economic, ideological or socio-cultural priorities and interests of the decision makers determine the interventions in heritage places as a result of the extensive rights that renewal law gives to local authorities. Considering the impact of the interventions in Tarlabaşı, Hacı Bayram Square with its surrounding and Kemeraltı Konak, the milieus of heritage places (physical setting, social environment and economic context) were altered and the values that they involve were changed. Three sets of relationship between interventions, values and milieus become evident to understand and assess changes: (i) values and intervention approaches, (ii) milieu and intervention approaches and (iii) values and milieus. This study aims to understand the changes in urban heritage places and propose a tool for assessing these changes. The tool proposed for the assessment of change is the Heritage Value Circle (HVC) and it relies on the interrelation between intervention approaches, the values and the milieus of heritage places. HVC is operated in the three heritage places to demonstrate its application. The study also proposes policy recommendations to provide consensus between socio-cultural and economic values for the sustainability of urban heritage places.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.043
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0040.004
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0070.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0110.054

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 head0.030
GPT teacher head0.214
Teacher spread0.184 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2018
Admission routes1
Has abstractyes

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