SPATIO-TEMPORAL CHANGES IN PATTERNS OF LAND USE IN POYANG LAKE DURING THE LAST DECADE
Why this work is in the frame
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Bibliographic record
Abstract
Changes in land use in Poyang Lake from 1988 to 1998 had been explored based on the maximum-likelihood method, using remotely sensed data from Thermatic Mapper (TM) in April 1988 and April 1998. The land use was classified into seven types, forest, shrub-land, meadow, water-body, crop-land, urban-land and bareland.The matrix for land use change was obtained by using overlaying. Areas of forest, water-body and urban-land types increased, while those for cropland, meadow and shrub-land types decreased during the past decade, with a decline of 11.3% for the crop-lands and 42.7% for the meadows. At all elevations the area of both croplands and shrub-lands decreased, but that of urban-lands increased. The area of forests increased markedly and it is especially at the elevation of over 100 m. Results from an analysis on factors affecting the changes in area of land-use types indicated that precipitation controlled the area of water-body and meadow, and the policy-related factors restricted conversions of forests and shrub-lands.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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