A Study on the Spatial Structure and Its Cultural Factors in Pingyao, China
Bibliographic record
Abstract
Because of the rapid development of heritage tourism, heritage conservation is receiving increasing national and international attention, albeit most of it is concerned with personal structures rather than space conservation. The first step in conserving the heritage, especially in a historic city’s environment, is to identify the social and cultural factors that have generated the changes. The Ancient City of Pingyao in China comprehensively reflects the traditional city planning of the Han people throughout the Ming and Qing Dynasties. Furthermore, in the second half of the 19th century, as the center of banking in China, Shanxi merchants in Pingyao had a profound effect on the modern economic development of the country. Meanwhile, the spatial has been affected by the commercials. In this article, to clarify the associativity between cultural factors and spatial structure, researchers studied the development of Shanxi merchants and the modification of Pingyao’s spatial structure with the analysis of profundity logic and social factors. By analyzing the data from ArcGIS, this paper found that cultural heritage is a living entity, the result of the change, a dynamic pattern, and an evolving inter-relationship between history and culture, which allows cultural heritage to present a unique characteristic. Accordingly, for sustainable heritage tourism, the authors argue that it is necessary to refer to the traditional cultural factors and sociocultural requirements that influenced the spatial shape and consequently propose planning measures for improvement rather than simply studying the spatial structure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".