Cultural Sustainability and Vitality of Chinese Vernacular Architecture: A Pedigree for the Spatial Art of Traditional Villages in Jiangnan Region
Bibliographic record
Abstract
Presently, the rapid urbanization in contemporary cities in China has resulted in more buildings of low cultural value and high energy consumption. Many traditional Chinese villages exhibit special spaces that have been optimally adapted to the climatic and environmental features of the area using vernacular methods. The buildings in these villages can maintain the environment more sufficiently for the intended programs and consuming a lower level of resources. The construction technics and the artistic features in these spaces are invaluable and inspiring for contemporary architectural practices. This study aims to establish a pedigree of the artistic features exhibited in traditional Chinese villages to support sustainable development. This is to be achieved through thoroughly exploring the spatial design of these villages archived in a big-data resource. The pedigree integrates the dynamics (cultural changes over a certain period of time) and static (spatial features at a fixed time) of how the spaces in these villages have evolved. It is concluded that both a high level of sustainability and exceptional artistic quality have been achieved over a long history in many of these villages where traditional construction methods and design principals were employed.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".