Defence Heritage as a Cultural Heritage Tourism Resource: Case of Cyprus
Bibliographic record
Abstract
Cyprus has one of the richest histories of Europe and the Middle East. As the result of being an island and having a strategic location, Cyprus had been occupied by different civilizations throughout history. Since the island faced many attacks throughout history, different buildings and structures were built to defend the island from its enemies. Defence heritage should be identified, documented and conserved since they are important part of the collective memory of the island. The only way to sustain these monuments is to reuse with an appropriate function since they have already lost their original function. The purpose of the study is to highlight the significance of defence heritage of the island and propose reuse strategies as a cultural tourism resource. The method of the study to includes literature surveys and observations through site survey. These data are used for developing reuse strategies by considering defence heritage as a cultural heritage tourism resource. Defence heritage structures can be used as tool for contributing cultural tourism of the island. Defence heritage is an important part of cultural heritage; therefore, they should be transferred for further generations through conservation and reuse.
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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 | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| 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".