Examining sexual concurrency and number of partners among African, Caribbean, and Black women using the social ecological model: Results from the ACBY study
Bibliographic record
Abstract
HIV/AIDS disproportionately affects African, Caribbean, and Black (ACB) communities in Canada. ACB women are overrepresented in new HIV infections compared with Canada’s general population. Sexual concurrent relationships and multiple sex partners are factors that may spread HIV and other sexually transmitted infections more rapidly among this group. The purpose of this study was to understand factors related to sexual concurrency and number of partners among ACB women ages 16–25 living in Canada. Participants were recruited through respondent driven sampling. We surveyed 274 ACB women living in Canada and 153 participants reporting sexual intercourse were retained in analysis. Descriptive statistics were used to determine distribution of sexual concurrency behaviour by variables of interest. Analysis of variance and linear regression were used to examine differences in number of partners by individual, family, and community factors. Approximately 45% of participants were of African origin, 35% were Caribbean and 11% were Black. The majority of participants lived in Canada for ten years or more (68%). Sexual concurrency was not prevalent among ACB women living in Canada ages 16–25, but ethnicity, nativity, interactions with the criminal justice system, and perceived neighborhood quality were associated with number of sex partners. Various individual and structural factors impact sexual risk behaviour. Efforts to reduce HIV/STI risk should consider of factors outside of individual behaviour.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".