A Typical Agricultural Areas of China -Dezhou City’s Land use Structure Changes Based on Past Decade Data
Bibliographic record
Abstract
Based on the statistical data of land-using in Dezhou City from 1996 to 2006, the changes of Dezhou City’s land-using structures is described. Through the use of land-use change intensity index, land-use type of dynamic index, the contribution rate of changes, Land-use integrated index, the changes of Dezhou City’s land-using structures is described is studied. The study is on quantity changes, velocity changes, as well as degree changes. Results showed that the change of cultivated land was not significant ; scales of urban construction land , traffic land , and forest land were further increased ; scale of unused land was reduced fast ; and the difference of land use structure in each county of Dezhou City was evident . Land use changes in Dezhou city were driven by natural , economic and social factors. Finally, the causes of land use structure changes were analyzed and some suggestions were put forward.
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How this classification was reachedexpand
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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".