Global to Village| Reading Movement in the Everyday: The Rise of Guangchangwu in a Chinese Village
Bibliographic record
Abstract
Over recent years, the practice of guangchangwu has captured the Chinese public’s attention due to its increasing popularity and ubiquity across China’s landscapes. Translated to English as “public square dancing,” guangchangwu describes the practice of group dancing in outdoor spaces among mostly middle-aged and older women. This article examines the practice in the context of guangchangwu practitioners in Heyang Village, Zhejiang Province. Complicating popular understandings of the phenomenon as a manifestation of a nostalgic yearning for Maoist collectivity, it reads guangchangwu through the lens of “jumping scale” to contextualize the practice within the evolving politics of gender in post-Mao China. In doing so, this article points to how guangchangwu can embody novel and potentially transgressive movements into different spaces from home to park, inside to outside, and across different scales from rural to urban, local to national.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".