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Record W2763526199 · doi:10.1386/jcca.4.2-3.269_1

Making a new world and a new people: Cold War, Maoist austere architecture and the ‘Rammed-earth Campaign’, 1966–76

2017· article· en· W2763526199 on OpenAlexaff
Zixian Liu

Bibliographic record

VenueJournal of Contemporary Chinese Art · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChinaArchitectureRammed earthPoliticsContext (archaeology)Political sciencePolitical economyAestheticsSociologyHistoryLawArtArchaeology

Abstract

fetched live from OpenAlex

Abstract After the Sino-Soviet split in the 1960s, Mao’s China replaced the Soviet way of urban planning with a new campaign of adopting Chinese vernacular architecture and decentralized Maoist urban planning. This article examines the neglected political intention of the Maoist architectural and urban planning project, the ‘Rammed-earth Campaign’. My study argues that socialist China aimed at shaping itself as a ‘Maoist austere aesthetics regime’ to manufacture a new socialist space and to cultivate a new socialist people who were able to both physically and mentally combat against ‘American imperialism’ and ‘Soviet revisionism’. This article reminds historians that without considering the cultural context of the socialist era, it is impossible to understand China’s urban planning and architecture in the late Mao era.

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 score0.088
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.014
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
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 head0.050
GPT teacher head0.315
Teacher spread0.265 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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