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Record W2004035633 · doi:10.1177/0097700406288317

The Gendered Politics of Woman-work

2006· article· en· W2004035633 on OpenAlexaff
Kimberley Ens Manning

Bibliographic record

VenueModern China · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsGrassrootsCommunismChinaPolitical radicalismPoliticsPolitical scienceGender studiesSociologyPublic administrationLaw

Abstract

fetched live from OpenAlex

This article explores discursive tensions in Party organizations prior to and after the founding of the People's Republic of China. Specifically, it explains radicalism among grassroots women leaders during the Great Leap Forward. The author argues that some of these leaders neglected the health of women and children and even sought to dismantle grassroots women's organizations because of how they were recruited and trained in grassroots Party organizations. Whereas the Chinese Communist Party and the All China Women's Federation (ACWF) leadership sought to implement a Marxist maternalist conception of sexual equality that stressed physiological difference, grass-roots Party organizations operated on the basis of a revolutionary Maoist ethic according to which all were expected to struggle equally. Trained by local Party organizations, a number of rural women leaders identified with interpretations of sexual equality put forth by the local Party, not by the Party and ACWF leadership, and consequently transformed important aspects of woman-work during the late 1950s.

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)0.003
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.042
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.023
GPT teacher head0.274
Teacher spread0.251 · 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

Citations25
Published2006
Admission routes1
Has abstractyes

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