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Record W2903840945 · doi:10.5539/jgg.v10n4p39

The Commercialization of Beijing Hutongs

2018· article· en· W2903840945 on OpenAlexvenueno aff
Ruoxuan Mao

Bibliographic record

VenueJournal of Geography and Geology · 2018
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsBeijingCommercializationArchitectureChinaArchitectural engineeringPolitical scienceGeographyCivil engineeringEngineeringLawArchaeology

Abstract

fetched live from OpenAlex

This paper addresses the transition of Hutongs from alleys connecting the main streets to fully commercialized districts. Hutongs are narrow streets formed by rows of Siheyuans (quadrangle dwellings), a traditional type of Chinese architecture consists of four houses surrounding a courtyard. The architectural layout of Siheyuan is four houses surrounding a courtyard. There are several types of Siheyuans, including the Beijing Siheyuan. Along with the development of Beijing since 1949, numerous Siheyuans were demolished. However, since the 1980s, many Hutongs were brought under national and local protection. Some of the best preserved Hutongs, especially those in the center areas of Beijing, are now more commercialized than they were prior to the ‘80s. This paper discusses the causes as well as consequences of such commercialization. Literature concerning the Hutongs frequently discusses the Hutongs' history and the shift in their architectural design, as well as other aspects that have changed over time. By contrast, this paper discusses a special phenomenon of Hutongs in Beijing — commercialization — and focuses on the causes and results of it.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.003
GPT teacher head0.197
Teacher spread0.194 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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