Managing Urban Heritage Areas in the Context of Sustainable Tourism, Heritage Conservation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There has been very little documentation of the Asian experience in planning and managing urban heritage areas, especially those experiencing tourism pressures. In order to better understand the challenges in these areas, 47 case examples have been authored by experienced practitioners who have worked in Asia over the past two decades in the areas of heritage conservation and/or cultural heritage tourism. The issues discussed in the case examples are those that the practitioners have identified as being of particular relevance to the heritage and sustainable tourism debate. Combined, these case examples provide geographic breadth and longitudinal depth, offering a comprehensive and credible body of data. In this chapter the case examples relate to heritage, which encompasses issues such as authenticity, integrity, heritage impact, historic urban landscapes, intangible heritage, tangible heritage and World Heritage sites.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.000 |
| 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 it