Balancing Economic Development and the Preservation of Agricultural Land: An Evaluation of Shanghai's Municipal Land Use Plan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The megacity of Shanghai faces enormous planning challenges, particularly controlling rapid urban growth and preserving some of the world's most fertile agricultural land. Almost two-thirds of Shanghai's territory is classified as agricultural land. Maintaining this high ratio of agricultural land to total land area and, at the same time, accommodating a large and rapidly increasing urban population represents an immense and complex planning challenge. Shanghai has recently adopted a Municipal Land Use Plan to address some of these planning challenges. This article provides a review, analysis and critique of Shanghai's Municipal Land Use Plan. From a review of the relevant literature, this article develops a framework to evaluate Shanghai's plan. This framework provides a qualitative assessment of the strengths and weaknesses of the SMLUP's overall goal of preserving arable land and fostering urban-economic development.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it