China’s Soil Pollution Control: Choices and Challenges
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
Protection (MEP) and Ministry of Land and Resources (MLR) conducted a 9 year survey of contaminants in soils, which considered about two-thirds of the land across the Chinese mainland.According to the results, 19.4% of the farmland surveyed was classified as polluted 1 (Figure 1).Contamination of soil could have adverse implications for food security. 2In recent years, concern about safety of agricultural produce exploded onto the public stage, especially after the frightening media stories about concentrations of the metal, cadmium in Hunan-grown rice in 2013.Due to recent, rapid urbanization, China's demand for land to be developed has been increasing continuously.Consequently, previous industrial sites are often reclassified for urban development.The national survey indicated that onethird of sites in and around 690 highly polluting enterprises and 146 industrial parks are polluted. 1Redeveloping these contaminated sites is a concern because of chronic risks to health of residents.It is noteworthy that China's worst explosion of warehouses in Tianjin on August 12, 2015 will
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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