Urban sprawl and its intrinsic characteristics of cantonal Suzhou from 1984 to 2003.
Bibliographic record
Abstract
By using Landsat TM images and socio-economical data,the dynamics of urban sprawl in Suzhou City from 1984 to 2003 was investigated,and analyzed from multi-disciplinary viewpoint. The results showed that with the rapid urbanization and industrialization,an overwhelming consumption of urban-used land from non-agricultural land was happening everywhere in the study area. In the past 20 years (1984 to 2003),the urban-used land had grown about 2.9 times,from 10 200 hm2 in 1984 to 29 200 hm2 in 2003. Temporally,urban-used land had a marked increasing intensity,while spatially,it expressed as the sequence of urban town village. The land consumption per capita in urban area (including urban and town) was lesser than that in village,indicating that in the Yangtze Delta,the most urbanized area in China,and at least in Suzhou or in other cities with the similar economic patterns to Suzhou in the Southeast China,further urbanization would help to weaken the conflict between urbanization and food security intrigued by the decrease of farmland.
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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 | 0.001 |
| 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) | 0.001 | 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".