Diasporic still life: <i>Midnight at the Dragon Café</i> and the cultural politics of stasis
Bibliographic record
Abstract
This article revisits and reevaluates the role that “stasis” can play as a literary technique in diasporic Chinese Canadian writing. To these ends I read Chinese Canadian author Judy Fong Bates’s debut novel Midnight at the Dragon Café (2005) as an important and intimate map of the social geography of a small Canadian town that illuminates how diasporic Chinese life is both constructed and constricted by the institution of the Chinese restaurant. I propose that having a narrative of restaurant life that centres around Chinese Canadian waiters and cooks exposes how socioeconomic institutions reproduce dominant social relations by limiting movement and representational possibilities for immigrant populations. In the book, sedentariness is presented alongside the social and political institutions that generate these diasporic subjects, which, I argue, creates a scene of stasis — where diasporic subjects work to achieve an equilibrium between competing cultural regimes. Bates’s book is remarkable insofar as it maps the unevenness brought on by diasporic globality but in a very "fastened" way — showing how the characters’ global outlooks are shrunk and slowly withered away by the small-town space. This article considers, then, what writing about diasporic stasis achieves in an age that is often characterized by global mobility.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.040 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".