Pregnancy intentions among female sex workers: recognising their rights and wants as mothers
Bibliographic record
Abstract
OBJECTIVE: To better understand the prevalence and correlates of pregnancy intentions among female sex workers (FSWs). DESIGN: Cross-sectional analysis using data from an open prospective cohort of street and off-street FSWs in Vancouver, Canada, in partnership with local sex work and community agencies. METHODS: FSWs were recruited through outreach to street and off-street locations (e.g. massage parlours, micro-brothels) and completed interviewer-administered questionnaires and HIV/sexually transmitted infection testing. Bivariable and multivariable logistic regression was used to evaluate correlates of pregnancy intention, based on a 'yes' or 'no' response to the question "Are you planning on have any (any more) children in the future?". RESULTS: Of the 510 women, 394 (77.3%) reported prior pregnancy, with 140 (27.5%) of the entire sample reporting positive pregnancy intentions. Regarding ethnicity, 35.3% were Caucasian and 26.3% were Asian/visible minority, with no differences in pregnancy intention by ethnicity or HIV status; 38.4% reported Canadian Aboriginal ancestry. In our final multivariable model, servicing clients in formal indoor settings, inconsistent condom use by clients, younger age, and intimate partner violence (IPV) were associated with pregnancy intention. CONCLUSIONS: FSWs may have pregnancy intention levels similar to that of women in other occupations. Policy changes are needed to improve FSWs' access to integrated HIV and reproductive health services and harm reduction services, particularly for FSWs experiencing IPV.
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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 | 0.000 |
| 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".