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Record W4205711200 · doi:10.12987/9780300133233

Revolution, Resistance, and Reform in Village China

2017· book· en· W4205711200 on OpenAlexaboutno aff
Edward Friedman, Paul G. Pickowicz, Mark Selden

Bibliographic record

VenueYale University Press eBooks · 2017
Typebook
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsChinaMemoirResistance (ecology)PortraitCultural revolutionState (computer science)PoliticsPower (physics)Face (sociological concept)Political scienceQuarter (Canadian coin)HistoryEconomic historySociologySocial scienceLawArchaeology

Abstract

fetched live from OpenAlex

Drawing on more than a quarter century of field and documentary research in rural North China, this book explores the contested relationship between village and state from the 1960s to the start of the twenty-first century. The authors provide a vivid portrait of how resilient villagers struggle to survive and prosper in the face of state power in two epochs of revolution and reform. Highlighting the importance of intra-rural resistance and rural-urban conflicts to Chinese politics and society in the Great Leap and Cultural Revolution, the authors go on to depict the dynamic changes that have transformed village China in the post-Mao era. This book continues the dramatic story in the authors’ prizewinning Chinese Village, Socialist State . Plumbing previously untapped sources, including interviews, archival materials, village records and unpublished memoirs, diaries and letters, the authors capture the struggles, pains and achievements of villagers across three generations of social upheaval.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.032
Threshold uncertainty score0.085

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 studies0.0070.012
Scholarly communication0.0030.001
Open science0.0010.003
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 head0.012
GPT teacher head0.221
Teacher spread0.209 · 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
GenreOther

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

Citations9
Published2017
Admission routes1
Has abstractyes

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