Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it