Bennett Yu-Hsiang Fu. Transgressive Transcripts: Gender and Sexuality in Contemporary Chinese Canadian Women’s Writing.
Bibliographic record
Abstract
Bennett Fu's Transgressive Transcripts studies the ways four Chinese Canadian women writers-Sky Lee, Larissa Lai, Lydia Kwa, and Evelyn Lau-produce "hidden transcripts," defined as a "critique of power spoken behind the back of the dominant" (James C. Scott qtd. in Fu 1).Fu situates the re-evaluation of female bodies and sexuality within the larger context of Canadian history and culture, arguing that these women "translate their personal experiences into texts that articulate the heroines' sexual desires, fantasies, and practices in an explicit manner.In other words, they participate in the discursive formations of history, ethnicity, and sexuality.More precisely, in an attempt to highlight the 'bad subject,' they engage with the notion of transgressive sexualities" (8-9).Largely influenced by the sexual/textual politics of the 1980s and early 1990s, Fu employs the feminist theories of Luce Irigaray, Julia Kristeva, Elizabeth Grosz, Judith Butler, and Foucault's History of Sexuality, using such recognizable notions as "two lips" (Fu 75), "abjection" (96), "chora," (107), and "M/other" (114) to read subversion in his texts.The book is divided neatly into four chapters with a chapter for each author.The chapter on Lee is entitled "Spatial Transcript" and "deals with how migrant female bodies perform in various locations and how defined and confined spaces intervene in alternative sexualities" (29).Fu writes, "Lee creates a genealogy of female characters who transgress normality; in particular, the female bodies in Lee's novel traverse the hyphenated space by subverting established patriarchal laws to claim their subjectivity" (29-30).This first chapter looks at the way the multi-generational family saga of Disappearing Moon Café, which follows families of Chinese Canadians from 1892 to 1986, moves from confinement to mobility, using both "historical facts and literary magic realism" (30).Fu contends that "space is the condition and milieu in which corporeality is socially, sexually, and discursively produced.Space . . . is a crucial factor in the social production of sexed corporeality: the built environment provides the context and the coordinates for contemporary forms of the body" (34).Thus, by the fourth generation, Kae and Beatrice reverse the trajectory of the female immigrant experience as they are "illuminated in Hong Kong" rather than B o o k R e v i e w s
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.043 | 0.007 |
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".