Cultivating Vibrant Gardens in Urban Communities: Success Factors of Community Gardens in Beijing and Shanghai
Bibliographic record
Abstract
Community gardens have emerged as community development initiatives with proven environmental, social, and public health benefits. While many studies evaluate the benefits of community gardens, fewer studies evaluate the success and failure of gardens, especially in China. This research uses four case studies of state-sponsored community gardens in Beijing and Shanghai to analyze social and organizational factors that help and hinder the success of community gardens. Factors impacting success are multi-faceted and interactive, and relations between residents and local government staff determine success throughout different development stages. In the design stage, the involvement of residents and their vision are important to success. In the maintenance stage, the leadership of key actors, including Residents’ Committee staff and volunteers, residents’ preparedness for self-governance, and external recognition are the most significant factors. The findings corroborate literature on factors of community gardens’ success while contributing new insights about the organization and governance of community gardens in the context of a top-down political system.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".