Coupled and coordinated development of water-energy-food-ecology-land system in the Yangtze River Delta, China
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
Abstract The Yangtze River Delta (YRD) region, a pivotal economic hub in China, relies on water, energy, food, ecology, land, for its prosperity development. Therefore, evaluating their coupling and coordination aids the YRD’s sustainable development. This study integrated ecology and land into the water-energy-food system to form a water-energy-food-ecology-land system (WEFEFS), and the entropy weight model, comprehensive evaluation index model and coupling coordination degree models were used to assess the WEFELS in the YRD (2005-2022), and identified key influencing factors through an obstacle model. The results demonstrate that the comprehensive evaluation index of WEFELS in the YRD rose slowly, with the food system contributing the most (22.15%) and the water system contributed the least (18.25%). The degree of coupling coordination (DCC) of WEFELS in the YRD improved from 0.561 to 0.653, exhibiting spatiotemporal heterogeneity, with Anhui Province leading spatially. The main obstacle factors were Per land GDP and Energy self-sufficiency rate.
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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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