Gazimestan and Velika Hoča as potentially protected cultural landscapes in the region of Kosovo and Metohija
Bibliographic record
Abstract
The fact that Kosovo and Metohija is rich with archeological remains of numerous and different cultures flourishing and developing within, also numerous medieval monasteries, natural and cultural potentials , history and tradition, point to the possibility that this region could become attractive in future for the tourism and cultural tourism needs. This hypothesis is proved in practice by tourist super powers in Europe and the world, Italy, France, Russia, the USA, Canada, which today levy immense income from cultural tourism, whose constitutive part comprises Cultural landscapes as well. Two such subject areas in Kosovo and Metohija - Gazimestan and Hoča are chosen for the study; by a detailed analysis a conclusion will be drawn whether these areas have potentials to be nominated for the World cultural list as Cultural landscapes in Kosovo and Metohija. The research is multidisciplinary; this paper presents an initial study of cultural landscapes in this region and examines possibility of its culture and tourist presentation. A well organized, conceived and timely placement of cultural landscapes opens a new segment in the cultural tourism offer. This research will prove the importance of promoting cultural landscape and its revival through cultural heritage, as well as its incorporating into modern tourist offer.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".