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Challenges and Opportunities Facing China’s Urban Development in the New Era

2013· article· en· W1806509580 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

VenueChina Perspectives · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicImpact of Light on Environment and Health
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsChinaUrbanizationEconomic geographyContext (archaeology)GeographyUrban planningRegional scienceDistribution (mathematics)Economic growthCivil engineeringEngineeringEconomics

Abstract

fetched live from OpenAlex

The acceleration of urban expansion has greatly impacted the study of China’s urban system, and the urban function at the national level has largely been characterised by the spatial distribution and evolution of cities. In order to understand the dynamics of urban development in China, it is necessary to analyse the history of city evolution and understand the context in which that evolution took place. The first section of this paper introduces the urbanisation process in China since the 1950s in order to demonstrate the origins of China’s recenturbanisation patterns. Subsequently, the structural transitions of city scaling and urban clusters are presented by employing Rank-size Analysis and satellite imagery, followed by the challenges brought about by these changes. Finally, the spatial distribution and transition patterns of China’s urban system are analysed using Centrographic Analysis.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.927
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 head0.046
GPT teacher head0.250
Teacher spread0.204 · 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