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Record W2057428141 · doi:10.1007/s10461-011-9937-7

Indicators of Mobility, Socio-Economic Vulnerabilities and HIV Risk Behaviours Among Mobile Female Sex Workers in India

2011· article· en· W2057428141 on OpenAlexaff
Niranjan Saggurti, Anrudh K. Jain, Rajendra Singh, Hanimi Reddy Modugu, Shiva S. Halli, Ravi Verma

Bibliographic record

VenueAIDS and Behavior · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Manitoba
FundersWellcome TrustBill and Melinda Gates Foundation
KeywordsCondomPsychological interventionMedicineSex workDemographyHealth psychologyPublic healthEnvironmental healthFemale sexHuman immunodeficiency virus (HIV)SyphilisSociologyPsychiatry

Abstract

fetched live from OpenAlex

This paper examines the relationship between indicators of mobility, socio-economic vulnerabilities, and HIV risk behaviours among 5,498 mobile female sex workers (FSWs) living in the four high HIV prevalence states in India. Female sex workers with greater degree of mobility reported significantly more often than the FSWs with lesser degree of mobility that they experienced physical violence, and consumed alcohol prior to sex. Further, FSWs with greater degree of mobility reported significantly more often than the FSWs with lesser degree of mobility that they had inconsistent condom use in sex with clients, even after controlling for several demographic characteristics and socio-economic vulnerabilities including experiences of violence. Additionally, short duration visits and visit to the Jatra (religious fairs) places found to have significant association with their inconsistent condom use in sex with clients as well as continuation of sex despite having STI symptoms. These findings suggest the need for screening FSWs for higher degree of mobility and to mobilize them to form community networks so as to deal with violence, reduce alcohol use and promote consistent condom use along the routes of mobility. HIV prevention interventions aimed at FSWs require an increased attention to address the socio-economic vulnerabilities including alcohol use, with particular emphasis on those FSWs who are on the move in India and elsewhere.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.276
Teacher spread0.263 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations64
Published2011
Admission routes1
Has abstractyes

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