From Alienation to Autonomy: Su-Jen&#8217;s Negotiation with Spatial Injustice and Search for Self in <i>Midnight at the Dragon Caf&#233; </i>by Judy Fong Bates
Bibliographic record
Abstract
Midnight at the Dragon Café (2004), a novel by the Chinese-Canadian author Judy Fong Bates, recounts the intergenerational experiences of a Chinese immigrant family in Canada, as narrated by the young protagonist, Su-Jen. While previous scholarship has largely concentrated on themes of cultural identity and subjectivity formation within the confines of the domestic space, this study examines the protagonist’s dynamic process of identity formation on how she negotiates spatial limitations and injustices, gradually transforming her sense of alienation into a state of autonomy by resisting the constraints imposed by the social norms and cultural traditions. Thus, the concepts of spatial triad by Henri Lefebvre and alienation by Erich Fromm will be used as the conceptual framework to explore how Su-Jen navigates her identity in response to the spatial injustice and emotional estrangement. Based on a textual analysis of the protagonist’s struggle with being neither constrained by norms and traditions nor restricted within the domestic space, her estrangement serves as a space of reflection and potential, allowing her to critically reassess her identity and assert her agency beyond the domestic sphere. Accordingly, this analysis reveals that Su-Jen’s encounters with alienation and spatial injustice become transformative experiences that enable the formation of an autonomous identity, shedding light on the broader struggles of diasporic individuals to construct identity and meaning within exclusionary socio-cultural and spatial landscapes.
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How this classification was reachedexpand
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".