Gender Statistics and Local Governance in China: State Feminist versus Feminist Political Economy Approaches
Bibliographic record
Abstract
Abstract Gender statistics provide an essential tool to mainstream gender equality in policymaking through the recognition by government and the public of gender differences in all walks of life. One legacy of feminist movements since the 1990s has been a focus on the challenges women face to effect substantive equality with men. Based on the findings of a project carried out in three districts of Tianjin, this paper identifies a lack of gender statistics in China's statistical system and the resulting negative impacts on local policymaking. The findings point to weaknesses in the Chinese “state feminist” approach to gender statistics, mostly at the level of the central government. From a feminist political economy perspective, the paper argues, policymaking in China is a process built upon centralized statistical reporting systems that serve the senior governments more than local communities. Gender statistics have the potential to enhance local governance in China when policymaking becomes a site of contestation where community activists demand the use of statistics to assist policies that promote equality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.004 | 0.015 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".