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Record W2351698623

The Spatial Analysis of Economic Structure Dynamic Evolution in Central China

2012· article· en· W2351698623 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
FieldEconomics, Econometrics and Finance
TopicRegional Economic and Spatial Analysis
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsChinaGeographyEconomic geographyCentral cityCommon spatial patternEconomies of agglomerationEconomyEconomicsEconomic growthEcology
DOInot available

Abstract

fetched live from OpenAlex

Taking prefecture-level cities as the basic research units,using the weighted center of gravity models,spatial au tocorrelation and other spatial analysis methods,this paper analyzes the economic migration,economic disparities and con centration,economic growth,the evolution of spatial pattern of central China in nearly 20 years.The result as follows,firstly,since 1991,the central region’s economic center excursion trend shows in direction ofM typein general which isnorth west → north → southwest → south,and the economic development in the western and northern of central China is prior than the east and south.Secondly,the level of regional economic agglomeration areas is similar and evident,which focused on hot spots in Wuhan,Zhengzhou and other provincial capital cities,and gradually form city groups and the economic growth pole.Thirdly,economic growth centralization in central China is evident,which is noticeable from 1998 to 2005,and becomes weakened after the year of 2006.Considering that in different periods,the economic growth centralization shows a trend of in creasing to decreasing.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score1.000

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 head0.198
Teacher spread0.190 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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