The linguistic landscape of Chinatowns in Canada and the United States: a translational perspective
Bibliographic record
Abstract
Chinatowns in Canada and the United States are marked by cultural hybridity, where the translation of various types, verbal and non-verbal, takes place to produce distinct urban meanings. On the basis of an ethnographic observation, this article reveals the role of translation in the signification and imagination of Chinatowns. Cultural diaspora in relation to multimodal translation is designed as a theoretical framework, under which linguistic, aesthetic and cross-cultural tensions are explained. It argues that the urban meanings of Chinatowns are generated through an omnipresent practice of translation enacted by the interplay of text, image and culture across time and space. In the meantime, Chinatowns have evolved from ethnic enclaves into cosmopolitan prototypes for future cities. A translational perspective on Chinatowns incorporates visual semiotics into verbal languages to unpack cross-cultural relations, which informs a great deal about the nature of translation.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.029 | 0.023 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".