The impact of China-to-US immigration on structural and cultural determinants of HIV-related stigma: implications for HIV care of Chinese immigrants
Bibliographic record
Abstract
Objectives: Asian Americans have poor HIV-related outcomes, yet culturally salient barriers to care remain unclear, limiting development of targeted interventions for this group. We applied the ‘what matters most’ theory of stigma to identify structural and cultural factors that shape the nature of stigma before and after immigration from China to the US.Design: Semi-structured interviews were conducted with 16 immigrants to New York from China, recruited from an HIV clinic and community centers. Deductive followed by focal inductive qualitative analyses examined how Chinese cultural values (lian, guanxi, renqing) and structural factors influenced stigma before and after immigration.Results: In China, HIV stigma was felt through the loss of lian (moral status) and limited guanxi (social network) opportunities. A social structure characterized by limited HIV knowledge, discriminatory treatment from healthcare systems, and human rights violations impinged on the ability of people living with HIV to fulfill culturally valued goals. Upon moving to the US, positions of structural vulnerability shifted to enable maintenance of lian and formation of new guanxi, thus ameliorating aspects of stigma.Conclusions: HIV prevention and stigma reduction interventions among Chinese immigrants may be most effective by both addressing structural constraints and facilitating achievement of cultural values through clinical, peer, and group interventions.
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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 | 0.000 | 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".