'There is no love here anyway.' Sexuality, identity and HIV prevention in an African sub-culture in Amsterdam, The Netherlands
Bibliographic record
Abstract
BACKGROUND: Undocumented African immigrants in The Netherlands are persons perceived to be at high-risk for HIV infection and yet are also a group that health care providers find difficult to access. The present study explores the experiences of a sample of undocumented African immigrants living in Amsterdam and offers recommendations aimed at providing more effective prevention interventions. METHODS: Data collection occurred through interviews and focus groups with men and women aged 20-35 of both African and Dutch descent, using their interactions to explore possible communication challenges. Field notes of interviews were transcribed and analysed to identify emergent themes and patterns. A conceptual framework related to power and identity construction was adopted. RESULTS: The findings of the present study show how identity is shaped and constrained by discourses around sexuality and health, as well as what participants perceived to be conflicting belief systems, as well as the Dutch socioeconomic context. The data were divided into two broad categories: challenges around Dutch prevention interventions and challenges around peer-support. Each category is structured around sub-themes, such as 'concepts used in prevention messages', 'inter-cultural tension', 'identification with the educator' and 'stigma: roots and implications'. CONCLUSIONS: These findings indicate that issues of power and identity construction have great implications for the uptake of HIV prevention strategies by African immigrant groups and reveal important opportunities on which to focus prevention efforts.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".