Analysis of Agricultural Cultivation Based on a New Landscape Expansion Index: A Case Study in Guishui River Basin, China
Bibliographic record
Abstract
Agricultural cultivation is always a global hot topic in agricultural and environmental sciences. The process of agricultural cultivation in Guishui river basin, China from 1978 to 2009 was studied based on landscape ecology principles with six Landsat images. A new landscape expansion index (LEI) was proposed to quantitatively indicate expansion size of farmland patches, and identify their spatial expansion patterns (adjacent expansion pattern and external expansion pattern). The primary conclusions were as follows. First, the expansion patterns of most expanding farmland patches were adjacent expansion pattern for approximately 30 years, whereas the number of adjacent and external expansion pattern patches fluctuated. Second, the values of LEI primarily distributed in the interval of (-1,-0.8), demonstrating that the spatial expansion pattern of farmland patches were largely adjacent expansion pattern on a small scale. Third, values of LEI tended to decrease overall as the expansion scale of farmland was gradually reduced.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".