MétaCan
Menu
Back to cohort
Record W2350542862

Research on Spatial Evolution of Economic Pattern Based on GIS-ESDA in Jilin Province

2014· article· en· W2350542862 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

VenueResource Development & Market · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economic and Spatial Analysis
Canadian institutionsScience North
Fundersnot available
KeywordsGeographyPer capitaVariogramIndex (typography)Spatial analysisCommon spatial patternCartographyEconomic geographyStatisticsDemographyMathematicsComputer scienceRemote sensingKrigingPopulation
DOInot available

Abstract

fetched live from OpenAlex

Taking the GDP per capita of forty eight counties in Jilin Province as the measuring indicator,this paper analyzed the spatial evolution of economic patternwith the methods of spatial association index and variogram.The results showed that:Since 1990,the county in Jilin Province overall lacked of stability of the economic pattern,evolved from the eastern border to Chang-JI,the regularity and continuity of spatial evolutionwas not strong,the inner link species and structural characteristics of form distributionwas not obvious,space concentrationwas low,and the stochastic nature and imbalances were prominent.Finally,this paper proposed the suggestions which coordinated regional development in Jilin Province.

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)0.003
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 score0.278
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.029
GPT teacher head0.243
Teacher spread0.213 · 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