Bibliographic record
Abstract
, a novella written by Li Zishu during her time in Europe that has largely gone unnoticed. Through an analysis of the novella's portrayal of queer intimacy between two immigrant women-one a Sinophone Malaysian and the other a Jewish Israeli-this article examines their healing relationship and how it intertwines with the MH370 accident and the novella's use of the ocean as an ecological trope. This analysis highlights Li Zishu's literary intention to address themes of healing violence, and transnationalism, marking a significant departure from the canonized Sinophone Malaysian literature, which predominantly focuses on violence, rainforests, and heteronormative local experiences. My reading draws from the frameworks of queer Sinophone studies while incorporating perspectives from queer ecology, queer intimacy, and queer world-making. I first analyze how the nationalism and patriarchy tied to each character's origins contribute to their marginalization as "others" in Europe, and how their bond forms despite differences in nationality and ethnicity. This dynamic is metaphorically reflected in their first encounter in the UK. I pay particular attention to the narrator's experiences of discrimination in Germany, which are tied to her Sinophone Malaysian identity, particularly in the aftermath of the MH370 disappearance. These experiences reveal how nationalism, shaped by global power dynamics and rooted in origin narratives, subtly manifests as a form of violence imposed upon her. I then further examine the intimacy between the characters within the imagined oceanic space-an alternative realm that holds the potential to address the colonial violence tied to their respective origins and facilitate the healing of their traumas. By highlighting the peaceful and restorative interactions between the two characters, I argue that this imagined space offers a vision of queer world-making: one that envisions sensory, nonhierarchical, and non-patriarchal worlds that challenge heteronormative structures and dominant power relations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".