Re-Exploration of the Sustainability of Traditional Village Spatial Development in The Epidemic Era – From the Perspective of Jiangnan Region, China
Bibliographic record
Abstract
The global spread of the COVID-19 has given severely challenge to the contemporary human settlement environment. Traditional villages, as an essential human settlement, which has been significant in contemporary life. This article takes the traditional village space in the Jiangnan region, China as an example to analyse the positive interaction between humans and nature, health, and space in its traditional design. This research points out that in the traditional village space, healthy human settlements have two levels: “material form” and “internal sprite”. In addition to focusing on the transformation, innovation, and application of the technology, designers should exceed the material level to seek non-material dialogue and integration, to explore the important role of inner spiritual art for healthy living. Finally, this research combine with the urban epidemic prevention function and pointed out that the symbiosis mechanism between urban and rural areas should be actively explored. The penetration and integration of urban and rural areas can better cure, and promote the sustainable protection, activation, utilization and innovation of traditional villages in the future.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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".