Management strategies of land-use space change——Take Kuancheng District,Changchun City,Jilin Province for instance
Bibliographic record
Abstract
The article takes Kuancheng District,Changchun City,Jilin Province for example,talking about the natural conditions and current land-use space change of Kuancheng District,putting homogeneity changes as the research methods of land-use space change,using GIS technology to make gridded map of land-use space change and establish the homogeneous geographical grid network.Explore the relationship between changes in land homogeneous degree and in land use types,and concluded that in the transition of economic development,the change of homogeneity of Changchun rendered high speed after low speed and the range from next to the city to far away from the city.Propose management strategies of land-use space change pointed at the current problems of Kuancheng District.Put forward management countermeasures following:establishing intensive land development pattern,creating the density of city space,coordinating various functional organically and retaining the city's open space management.It has important guiding significance for rational land use in Kuancheng District.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".