Bibliographic record
Abstract
This article examines the relationship between language, gender and domestic violence. Contextualizing the study of domestic violence in China, this article focuses its analysis on a metapragmatic discourse on domestic violence – zuiqian ‘deficient mouth’ in a working-class community in Beijing. It argues that the discourse of zuiqian, by blaming women’s mouths and their ‘deviant’ speaking styles, individualizes the serious social problem of domestic violence and downplays the structural force that causes male violence. By fragmenting women and regulating their mouths, the discourse of zuiqian serves as an anatomic mode of power (anatomo-politics) for the state to discipline women and safeguard society. Also, this discourse constitutes a repudiating site (i.e. a site at which subjects are condemned or criticized in order for them to emerge) to construct the kind of subject identified with China’s neoliberal agenda. This study shows that both language and gender can be engaged as either anatomic modes of power or repudiating sites for subjectivity formation in the broader political and economic transformations of the process of globalization. In the context of neoliberalism, the private, the individual and the body have become the bases for political legitimacy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".