The Practice of Urban Renewal Based on Creative Industry: Experience from the Huangjueping Creative Industries in Chongqing - China
Bibliographic record
Abstract
Along with urbanization, the cities in China are faced with a series of adjustments such as industrial transformation, economic growth, and organic update. The Huangjueping creative industry (based) in Chongqing developed an industrial cluster built around arts relying on the College and using its vacant resources such as warehouse and factory buildings among others. The industry emphasizes their presence with cultural features and renews the urban blocks with simple and rich distinctive forms. This paper examines the policy and process of urban transformation using arts, culture and creativity. We found out that culture and creativity can modify urban fabric using arts in a process of urban renewal, and creating industrial clusters. We also found out that graffiti can be used to create unique urban traits and distinctiveness, and that industrial clusters are more effective in cultural and creative industries compared to other local economic development activities. The paper concludes that focusing policy on utilizing a city’s uniqueness provides a new perspective to developing sustainably.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".