Research on the renewal of architectural landscape and public cognition in LianBaoLi Historical and cultural block in Wuhan
Bibliographic record
Abstract
As an important part of the city's cultural heritage, historical and cultural blocks have witnessed the city's historical changes, leaving many valuable natural and human resources. However, after many years of baptism, historical and cultural blocks, now the destruction of buildings and cultural relics, poor living environment, frequent population flow, these are obviously not in line with the modern city, the direction of urban development. In order to promote the revival of historical and cultural blocks, it is imperative to renovate the blocks, which is also an inevitable measure under the background of urban renewal. LianBaoLi Historic and cultural district, as the root of Wuhan City and the source of its history, is one of the outstanding historic buildings in Wuhan. Its renewal is conducive to the spread of Wuhan's historical and architectural culture, to drive high-quality development in Wuhan. In addition, the public is the main body of the renewal of the historical and cultural blocks, studying their awareness of the renewal of the historical and cultural blocks in LianBaoLi , to measure the effect of the implementation of the block renewal policy, to identify whether there is any deviation between the public cognition and the cognition of the public policy makers, and to provide some solutions for the sustainable development of the historical and cultural block in LianBaoLi ,to add to Wuhan's urban fabric.
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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 | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".