The stranger that is welcomed: female foreign students from Asia, the English language industry, and the ambivalence of ‘Asia rising’ in British Columbia, Canada
Bibliographic record
Abstract
In 2002, attacks on six Asian women and girls temporarily living in the Greater Vancouver Area, Canada to study the English language garnered significant attention. Beginning with the attempted murder of Korean national Ji-Won Park, and ending with the murder of Chinese national Wei Amanda Zhao, the attacks on Asian females sparked a national debate about the vulnerability of foreign language students of Asian origin, and Canada's responsibility to protect them. Drawing on mainstream media accounts, this article examines how the intersection of race, gender and class produced the event as a story of national interest and as one of the province of British Columbia's most significant events of 2002. Highlighting the shifting positioning of Asian difference in contemporary western space, this research contributes to recent theorizing on how Asianness in the west no longer primarily signifies backward, underdeveloped nations and peoples best kept in their place, in another space. I argue that western discourse on Asian difference is defined by ambivalence. While the economics of the English language industry and the geopolitics of ‘Asia rising’ led to a heightened interest in these acts of violence, gender and processes of feminization simultaneously reduced concern over what is arguably an anxiety producing event in the west: Asia's economic ascendancy and the west's positioning in the ‘Asia Pacific century’.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.044 | 0.016 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".