‘Race’ and HIV vulnerability in a transnational context: the case of Chinese immigrants to Canada
Bibliographic record
Abstract
Although immigrants' sustained connections with their homelands are well documented, so far we know little about how 'race' - in particular, conceptions of race back home - influences the HIV vulnerability of racialised immigrants to Western countries. Drawing on data from a multi-sited, qualitative study of Chinese immigrants to Canada, this paper presents a contextualised understanding of the impacts of race on HIV risk faced by these individuals in a transnational context. Data were collected from four study sites in Canada and China as part of a study investigating the relationship between HIV risk and transnationalism. Although race appears to have bearing on their risk perceptions and sexual practices, immigrants' understandings of race are not necessarily consistent with dominant discourses of race in Canada, but are also mediated by their racial habitus developed in China. Findings reveal the complex power dynamics - not just power asymmetries but also power fluidity - around race from a transnational perspective and thus challenge the assumed dichotomy of dominance and subordination underpinning traditional explanations of the relationship between race and HIV risk. In the context of transnationalism, researchers should go beyond a nation-bound concept of society (i.e. the host society) and take into account the simultaneous influence of both host and home countries on immigrant health.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".