A profile of the sexual experiences of African, Caribbean and Black Canadian youth in the context of Canadian youth sexuality
Bibliographic record
Abstract
Canadian studies have examined patterns of sexual behaviour and health based on age, gender, and geographical regions, but typically ignored the increasing ethnic diversity in Canada's population. In large part this is because sampling techniques tend to produce insufficient numbers of youth in specific ethnic groups for detailed analysis. This paper presents a profile of the sexual experiences of African, Caribbean, and Black (ACB) youth using data collected in a survey (n=510) with ACB youth age 16–25 years living in the Windsor/Essex County region of Ontario, Canada. Data were examined for differences among the three ethno-racial groups in combination with differences between Muslims and Christiana, and males and females. In this predominantly heterosexual sample (95%), nearly ¾ of the Black and Caribbean youth reported sexual intercourse experience compared to well under ½ of the African youth. Overall, African were less experienced than Caribbean and Black youth and, within the African group, Muslim less than Christian youth. This included age of initiating various sexual activities, number of partners, use of condoms, and experiences of either non-volitional or non-relational sex. Alcohol in connection with sexual activity and multiple partners within a single month were rare. The Black and Caribbean participants reported sexual experiences and had a sexual profile that was closest to that of Canadian youth. Given the increasingly multicultural profile of Canada, these findings support the importance of research on distinct ethno-racial groups in Canada to inform the delivery of sexual education and health policy and programming.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 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".