Assessment of the adaptive reuse of castles as Museums: case of Cyprus
Bibliographic record
Abstract
Military establishments, including castles, fortresses, military posts and towers, were mainly constructed for defence purposes.The conservation of military structures as well as other heritage buildings is important since they are monuments that represent a sense of identity, and national pride, bearing a message of oppression.The only way to sustain these monuments is re-functioning with an appropriate approach since they have already lost their original function.However, the problem is to select the most appropriate function according to the structural and formal characteristics of the monuments.The study aims to question the success of the adaptive reuse projects in terms of appropriateness of the museum function and its implementation in castles.Generally, there is a tendency to convert old castles into museums.Due to the physical characteristics, museum can be accepted as a compatible function, if museums are designed with correct approaches.Otherwise, the heritage buildings will lack a living function and become disused or abandoned.The study is a comparative research among castles located in Cyprus and converted to museums.Four castles of the castles in Cyprus that have been converted to museums have been evaluated and compared in terms of the use of military establishments as museums.The selected castles were evaluated in two parts with defined criteria: firstly, in terms of conservation principles and secondly, in terms of museography.According to the results, generally the adaptive reuse projects have sustained the cultural identity of the heritage buildings; however, they have failed in bringing about efficient use and achieving socio-cultural benefits.Although structures have been preserved physically, most of them lack a living function and visitors.Existing exhibitions should be supported by other exhibitions or activities to attract more visitors.Also, successful museum design approaches around the world should be observed and analysed.Then, the existing museums should be re-designed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".