“People Here Are Alone, Using Drugs, Selling their Body”: Deportation and HIV Vulnerability among Clients of Female Sex Workers in Tijuana
Bibliographic record
Abstract
In many settings, migrants are at disproportionately high risk of HIV. The Tijuana-San Diego border is the world’s busiest international land crossing. Deportations in San Diego County have increased by 48% since 2002; many deportees are delivered to deportation stations in Tijuana, Mexico, where associations between HIV vulnerability and deportation have been documented. Female sex workers (FSWs) and their clients are among the populations at highest risk of HIV in Tijuana. Our objective was to explore the relationship between deportation and HIV vulnerability from the perspectives of deported clients of FSWs in Tijuana. Using in-depth interviews conducted in Tijuana’s red light district in 2008 with 20 male clients of FSWs who had ever been deported from the United States, we explored the relationship between the consequences of deportation and HIV vulnerability. Clients perceived deportation as resulting in social isolation and economic dislocation, which were linked to HIV through substance use and unprotected sex with FSWs. These unintended consequences of immigration policy (social dislocation and economic marginalization) warrant corresponding interventions that address social, economic, and political dimensions of vulnerability. Recommended interventions include (1) social and economic support for deportees in border communities; (2) HIV testing, information, and condom provision to deportees; (3) peer education and condom promotion by jaladores (middlemen); and (4) safer sex interventions that address psychosocial factors and substance use among deportees. We argue that the health impacts of migration depend on the context of migration, with deportation posing a form of involuntary migration that exacerbates HIV vulnerability.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".