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Record W1996646676 · doi:10.3828/idpr.2014.12

China's pre-reform urban transformation: the case of Hangzhou during the Cultural Revolution (1966-1976)

2014· article· en· W1996646676 on OpenAlexaff
Zhu Qian

Bibliographic record

VenueInternational Development Planning Review · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsChinaCultural revolutionTransformation (genetics)Political scienceEconomic geographyGeographyEconomyEconomic systemEconomics

Abstract

fetched live from OpenAlex

This paper examines the socio-spatial transformation of China during Mao's Cultural Revolution (1966-1976). Through the lens of political rationales, government programmes, strategies and expertise and knowledge, this study explores Hangzhou's socio-spatial transformation and the dynamics between the societal and spatial dimensions during the Cultural Revolution. It investigates urban restructuring and population changes, public spaces, signature and special structures, residential buildings, parks and gardens in the city. The research attempts to interpret the perplexing relations between socio-political programmes and spatial projects on the ground. The paper argues that urban development continued under a heroic and revolutionary political agenda, even when urban planning as a discipline was removed during the societal disorder. Urban transformation was characterised by the duality of utopian and revolutionary ideals as well as pragmatic and economised approaches in practice. Utopian communist aspirati...

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.725

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0070.006
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.015
GPT teacher head0.307
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

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 designQualitative
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

Citations8
Published2014
Admission routes1
Has abstractyes

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