Bibliographic record
Abstract
This article studies the political discourse of sisterhood within #MeToo and other social movements in China, Hong Kong, and transnational Sinophone communities. The current People’s Republic of China regime has emphasized a new conception of love that associates notions of family, obedience, and social stability with Confucianism and “traditional cultures,” aided by new gendered narratives of nationalism in the cybersphere. The discourse of motherly love promulgated by the Hong Kong Special Administrative Region Government’s former Chief Executive Carrie Lam during the 2019–2020 mass protests further demonstrates the impact of such parental governance in post-handover Hong Kong. In response, a non-familial, multi-layered notion of sisterhood, termed queering love, has emerged from grassroots feminism that challenges the state’s political discourse of love in parental governance and patriarchal nationalism with social and queer solidarities. Such queering and transnational alliances beyond and across national boundaries further confront the authoritarian claim to a singularity of identity and the authoritarian monopolization of love, providing emotional reparation and new dialogues for societies undergoing change.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.034 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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".