Transnational urban encounters: existential wanderings in Xue Yiwei’s collection Shenzheners
Bibliographic record
Abstract
The fictional works of the Chinese writer Xue Yiwei, who migrated to Canada in 2002, can be regarded as a byproduct of cross-border mobility and cultural displacement. This paper examines the relationship between the individual and the metropolis in four short stories from the collection Shenzheners, focusing on the impact of the writer’s transcontinental relocation on his representation of city dwellers and intercultural encounters. This research adopts an interdisciplinary framework, which merges textual analysis with the approaches of Cultural Studies and Literary Urban Studies, and places this theoretical construction within a transnational context. By investigating the multiple narrative forms Xue Yiwei uses to question stereotypical cultural boundaries and to build a bridge between Chinese and global literatures, the connection between his experience of mobility and his hybrid fictional microcosm will be explored.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".