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Record W2369346498

Research on the Dynamic Model for Urban Spatial Expansion

2014· article· en· W2369346498 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
FieldEnvironmental Science
TopicEvaluation Methods in Various Fields
Canadian institutionsScience North
Fundersnot available
KeywordsUrban planningCompetition (biology)Urban densityRedevelopmentResource (disambiguation)Urban spatial structureUrban expansionUrban regenerationUrban economicsEnvironmental planningEconomic geographyGeographyEconomicsCivil engineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

Urban spatial expansion is divided to two aspects: new urban district and urban redevelopment.However,vicious resources competition between new urban district and urban redevelopment is an important aspect to restrict urban spatial structure development and to impact on the enhancement of the urban comprehensive competitiveness.So,urban spatial expansion model is established on the basis of the urban resource competition and the competitiveness index.The model could describe the influence and request of factors of the society,economy and environment to the urban spatial expansion by using the quantitative and the dynamic methods.The model also could explore the basic law in the urban development process,promote the rational allocation of resources,and provide decision support to urban spatial structure adjustment,especially the relationship between new urban district and urban redevelopment.

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)0.005
metaresearch head score (Gemma)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.854
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
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)0.0020.000

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 head0.146
GPT teacher head0.438
Teacher spread0.292 · 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
Published2014
Admission routes1
Has abstractyes

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