The Relationship of Visual Preference for Traditional Village Landscape with View on Development Approaches in China
Bibliographic record
Abstract
In recent years, the sustainable development of traditional Chinese village landscapes has been constantly challenged.Thus, this study intends to explore the relationship between local residents' views on development approaches and their visual preferences for traditional village landscapes, in order to guide planners and decision-makers toward more sustainable development policies and strategies that are consistent with local residents' views.The survey results from 400 participants in Guilin, Guangxi regarding visual preferences show that the local residents mostly prefer the mixed village landscape that retains the traditional characteristics of the elements while also integrating the needs for modern living and material styles.For development approaches, the results also show that the local residents believe that the development of landscapes should be based on two main views: (a) environmental preservation and (b) moderate utilization.It is also found that the views on the development approach have a significant effect on the visual preferences of traditional villages.The visual preference for the mixed-style village landscape is most affected by the development view of moderate utilization, followed by the development view of environmental preservation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".