The Role of Cultural Routes in Sustainable Tourism Development: A Case Study of Syria’s Spiritual Route
Bibliographic record
Abstract
Cultural routes and associated cultural tourism are innovative, broadly networked, and designed tourism systems that serve multiple purposes.Cultural routes had become a tool for maintaining destinations and promoting tourism simultaneously.This study assesses the potential of cultural routes in rebuilding Syria's dire tourism infrastructure situation after the war.The aim is to examine whether the "Spiritual Route" proposed by the Syrian Ministry of Tourism has the potential to attract tourists and reinstate itself as a sustainable route generating benefits for all stakeholders.The purpose is to determine the potential the "Spiritual Route" has for tourism and how it may attract people.Data has been obtained from a literature review and reconstructed from interviews and information from tourism databases and concerned personnel on its history, geography, and potential as a sustainable culture.The results from a SWOT analysis and the literature review revealed that the "Spiritual Route" has the potential to become a primary tourism attraction for a wide audience.This can be achieved by linking the tangible heritages of different geographical areas if planning and development are appropriate; however, the current internal situation of the war is a substantial hindrance.These principal findings can contribute as a valuable review in highlighting key limitations to be dealt with by decision-makers of Syria's "Spiritual Route" and others working on similar cultural routes in post-war Syria.
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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 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".