The Role of Sustainable Development in Revitalizing the Urban Context within Heritage Cities
Bibliographic record
Abstract
Studying the concept of urban context is one of the most fundamental issues in clarifying the morphological transformations of heritage cities, as context represents an integrated system that links multiple material elements and the organizational and symbolic relationships that manage and shape identity as a place.In heritage cities, including the holy city of Karbala, we observe that this context conflicts with sustainable urban requirements, as a result, accelerating urban expansion and increasing tourism and religious activities have influenced and changed the nature of the traditional fabric.This research aims to clarify the impact of urban context on the sustainability of heritage city centers by studying the relationship between context components and sustainability indicators.The research employed an analytical-descriptive approach that involved reviewing recent studies and analyzing functional and temporal maps of the heritage fabric in the city center.The results indicated that any disregard for the urban context in contemporary planning leads to the disintegration of the heritage structure and a decline in functional and visual interconnectedness, while blending the principles of contextual sustainability in heritage organization and management enhances this balance of heritage and identity with the changing transformations in the contemporary urban 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".