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Record W2372350192

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

2006· article· en· W2372350192 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.074
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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

Quick stats

Citations3
Published2006
Admission routes1
Has abstractyes

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