Sustainable development of Urban conserved heritage: An analytical study of Kursunlu Mosque In Ulus, Ankara
Bibliographic record
Abstract
Sustainable design movement in Turkey and across the world mostly focuses on new buildings, with little attention on existing built heritage.Nonetheless, historical building heritage constitutes a majority of the built environment in Turkey.According to the statistics of Turkish Ministry of Culture and Tourism, there were 106.359 registered immovable cultural heritage in all around Turkey at the end of the year 2017.It is thus important to investigate sustainable development potentials and make suggestions for conserved built heritage.The aim of this research stems from the importance of finding a clear visualization for urban design for cities in the present and future by means of sustainable development, which satisfies the needs of the present and protects the rights of the future.Hence, this manuscript first examines the sustainability potentials of a case study in the 16th century Kursunlu Mosque with its neighbourhood, located in the historic Ulus district in Ankara, Turkey.This research investigates the importance of studying the term 'urban conservation' within the context of historic Ulus area.Although the mosque is nearly walking distance to historic touristic destinations of Ankara such as the Castle, Ahi Elvan and Ahi Serafettin Mosques, Cengel Khan (Museum), Cukur Khan, Safran Khan and Hamamonu area, it does not attract much of the visitors, because of its lack of integrity with the nearby built environment and its restoration necessity.Research methods include literature and archival survey, in-situ observations, and interview with the local community.The analysis reveals urban conservation potentials of the area and sustainable development suggestions for the mosque with its neighbourhood.The major conclusion of the research is that sustainable development suggestions as well as conservation measures of the case study mosque and urban conservation analysis may provide the user and visitor increase and contribute to the revitalization of the building and the neighbourhood area in the long term.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".