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Record W6923370999 · doi:10.14288/1.0314915

Pregnancy intentions among female sex workers : recognising their rights and wants as mothers

2017· article· en· W6923370999 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Collections · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
Fundersnot available
KeywordsPregnancyCondomLogistic regressionSex workReproductive healthCohortEthnic groupOutreachPopulationHarm reduction

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.378
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0240.001
Scholarly communication0.0040.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.038
GPT teacher head0.332
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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