Reviving the Cultural Route and Its Role in the Sustainability of Historical Areas - Kerbala as a Case Study
Bibliographic record
Abstract
Cultural heritage represents one of the most important resources for development processes, and cultural routes as cultural elements have the potential to revitalize and develop the historical area sustainably by stimulating cultural tourism. One aspect of cultural tourism is to provide cultural itineraries for visitors that enable them to explore the cultural heritage of the host region. The literature in this field has dealt with the potential of heritage in general in providing meaning and value to the environmental, and socio-economic aspects that form the foundations of sustainable development. This paper uses a multidisciplinary approach to study the possibility of designing and reviving cultural routes as catalysts for historical revitalization. Taking the Cultural Routes in (Karbala) as an example, the network and node perspective model are adopted to determine two historic tourism routes in this region. And it turns out that the preservation and protection policies for heritage must be integrated manner with the development processes, and to achieve a balance between the aspects of sustainable development and emphasize their interrelation and interaction with the historical environment.
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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 | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".