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Record W2389026933

Spatial Agglomeration and Spatial Organizational Association of Top 100 Enterprises in Shenyang

2014· article· en· W2389026933 on OpenAlex
Wei Y

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

VenueEconomic Geography · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economic and Spatial Analysis
Canadian institutionsScience North
Fundersnot available
KeywordsEconomies of agglomerationEconomic geographySpatial organizationMode (computer interface)Space (punctuation)Spatial ecologyGeographyBusinessAssociation (psychology)Economic growthComputer scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

Minimum spanning tree and alternative parametric method were respectively employed to analyze the spatial agglomeration and spatial organizational associations of top 100 enterprises in Shenyang city. Results revealed that:(i)The headquarters of top 100 enterprises had a characteristic of spatial agglomeration,and showed obvious spatial differentiation;(ii)The top 100 enterprises presented some certain characteristics of new industrial space;(iii)The spatial organization network of top 100 enterprises was integrated by associations in the east-west extending mode,radiation mode and scatter mode;(iv) Equipment manufacturing played a key role in the spatial agglomeration and spatial organizational associations;(v) East-west direction was the major direction which the industry of Shenyang had extended to.

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)0.001
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 score0.045
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.005
GPT teacher head0.171
Teacher spread0.166 · 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