“It's a forced separation […] and we've got used to this kind of life”: changing dynamics of HIV risk in the context of immigration
Bibliographic record
Abstract
Purpose This paper aims to examine the impacts of immigration processes on the HIV risk faced by mainland Chinese immigrants in Canada. Design/methodology/approach Drawn from a larger qualitative study on the vulnerability to HIV of recent immigrants to Canada, the data presented were collected through individual, face‐to‐face, semi‐structured, in‐depth interviews with 34 mainland‐Chinese immigrant adults who perceived themselves as facing sexual health risks (including HIV infection) through engaging in unsafe sex. Findings Immigration processes have not only exposed these immigrants to a HIV risk that they did not face in China; they have also compromised their capacity to effectively respond to it. In light of various settlement difficulties, HIV risk is neither the only nor the most urgent challenge that they have faced in their post‐immigration lives. Research limitations/implications The HIV risk under discussion must be understood by situating it in the processes of immigration, settlement, and transnational connections, all of which have shaped not only the dynamics of HIV risk but, also, these individuals' capacities to respond to that risk. Owing to its small‐size purposive sample, the results of this study may not be generalizable for Chinese immigrants in Canada as a whole. Practical implications Greater attention should be given to the intersections between immigrants' vulnerability to HIV and settlement processes and to holistic approaches that take into account the changing contexts and dynamics of HIV risk. Originality/value This exploratory study will contribute to knowledge of the HIV risk Chinese immigrants in Canada face – a little‐known topic.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.022 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| 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".