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Record W2372350192

Urban sprawl and its intrinsic characteristics of cantonal Suzhou from 1984 to 2003.

2006· article· en· W2372350192 on OpenAlexaff
Guilin Li

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicRemote Sensing and Land Use
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsUrban sprawlUrbanizationGeographyChinaPer capitaIndustrialisationUrban climateLand useConsumption (sociology)Agricultural economicsSocioeconomicsEconomic growthPopulationPolitical scienceArchaeologyDemographyEcologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.384

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.007
GPT teacher head0.179
Teacher spread0.172 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2006
Admission routes1
Has abstractyes

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