The Impact of Migration on HIV Prevention for Women: Constructing a Conceptual Framework
Bibliographic record
Abstract
There are an estimated 40.5 million people currently living with HIV globally, 17.5 million of whom are women, according to the AIDS Epidemic update: December 2005, conducted by UNAIDS and the World Health Organization (WHO) 2005. Women are vulnerable to HIV for biologic as well as social reasons. In the past, the HIV prevention theorists have not considered the context of women's lives: factors at the individual, relationship, and community levels, as well as structural factors (both policy and cultural) impact on HIV prevention for women. This is particularly true for migrant women, who may be especially vulnerable to HIV infection during their time of transition. Throughout this article I explore the international literature for both the historical context of HIV prevention for women and the impact of migration on HIV risk for women. The literature review provides a basis for the development of a conceptual framework of the socioecologic factors affecting HIV prevention for migrant women. I call for consideration of the broad context of women's experience when developing interventions for this population.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".