Morphology and Spatial Dynamics of Urban Villages in Guangzhou’s CBD
Bibliographic record
Abstract
Studies on the urban village (chengzhongcun) over the past ten years have focussed on legalistic and structural aspects, as well as the social outcomes of village-led redevelopment. Studies on the morphology of villages, their spatial and economic linkage with the city, and their internal spatial dynamics are, in comparison, limited in number and scope. This study of village space in the new central area of Guangzhou focusses on the spatial relationships between village space and the surrounding city—the exchange of people and goods, the movement system in relation to commercial activity, and the relationship between the pattern of building and movement networks—as a primer for new approaches to physical renewal. Primary field data, interviews, and archival research support the analysis of Shipai village, in particular. It was found that Shipai plays a significant role in transport and economy at the district and central city level. The internal movement system functions to connect surrounding areas while supporting a commercial and services system of local and district-level significance. The built form of the village is also self-generated by location and internal rule making. The physical and activity patterns of the self-rebuilt village exhibit the characteristics of emergent spontaneous order.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".