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The Death and the Life of Beijing —the History, Present Situation and Strategy of Urban Planning in Beijing

2011· article· en· W1843354107 on OpenAlexvenueno aff
Fengyi Li, Bing Wang

Bibliographic record

VenueCanadian social science · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsnot available
Fundersnot available
KeywordsBeijingUrbanizationUrban planningTown planningHumanitiesEthnologyGeographyPolitical scienceEconomyHistoryChinaArchaeologyCivil engineeringEconomic growthArtEngineering

Abstract

fetched live from OpenAlex

the article focus to analysis the problems in the urban planning in Beijing via the planning history, including the protection of places interests, the traffic problems in the centre city and satellite town. Combine some cases of other countries to propose method to solve the present problem. Key words: Beijing; Urban planning; Historical and cultural relic; Traffic problems; Satellite town; Organic evacuation Resume: L'article tente d'analyser les problemes de la planification urbaine de la ville Pekin, y compris la protection des vestiges culturel dans les vieux quartiers, le transport aggravant au centre-ville, la deconnection entre les zones satellite et ville et des problemes de circulation qui en decoulent, a travers l'histoire de l'urbanisation de la ville de Pekin. L'auteur a propose des solutions en etudiant les cas de l'urbanisation dans d'autres pays. Mots-cles: Pekin; Planification urbaine; Centre-ville; Vestiges historiques et culturels; Pression de transport; Satellite; Evacuation

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.359

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.008
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.064
GPT teacher head0.288
Teacher spread0.224 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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