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Record W4213345669 · doi:10.1017/cbo9781139162197

City Versus Countryside in Mao's China

2012· book· en· W4213345669 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

VenueCambridge University Press eBooks · 2012
Typebook
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsChinaGrassrootsPeasantRural areaFaminePoliticsDisadvantageGovernment (linguistics)Cultural revolutionWork (physics)Political scienceEconomic growthGeographyEconomyDevelopment economicsLaw

Abstract

fetched live from OpenAlex

The gap between those living in the city and those in the countryside remains one of China's most intractable problems. As this powerful work of grassroots history argues, the origins of China's rural-urban divide can be traced back to the Mao Zedong era. While Mao pledged to remove the gap between the city worker and the peasant, his revolutionary policies misfired and ended up provoking still greater discrepancies between town and country, usually to the disadvantage of villagers. Through archival sources, personal diaries, untapped government dossiers and interviews with people from cities and villages in northern China, the book recounts their personal experiences, showing how they retaliated against the daily restrictions imposed on them while traversing between the city and the countryside. Vivid and harrowing accounts of forced and illicit migration, the staggering inequity of the Great Leap Famine and political exile during the Cultural Revolution reveal how Chinese people fought back against policies that pitted city dwellers against villagers.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.906
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.244
Teacher spread0.205 · 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