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Record W2109437397 · doi:10.1071/sh12215

Degree and correlates of sexual mixing in female sex workers in Karnataka, India

2013· article· en· W2109437397 on OpenAlex
Bidhubhusan Mahapatra, Catherine M Lowndes, Kaveri Gurav, Banadakoppa M Ramesh, Stephen Moses, Reynold Washington, Michel Alary

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSexual Health · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversité LavalUniversity of Manitoba
FundersImperial College LondonBill and Melinda Gates Foundation
KeywordsAssortativityDemographyMixing patternsMedicineMixing (physics)Sociology

Abstract

fetched live from OpenAlex

UNLABELLED: Background The degree of sexual mixing plays an important role in understanding disparities in sexually transmissible infections and HIV across social groups. This study examines the degree of sexual age mixing, and explores its individual and partnership level correlates among female sex workers (FSWs) in Karnataka, India. METHODS: Data were drawn from special behavioural surveys conducted in 2006-07 among 577 FSWs in two districts of Karnataka: Belgaum and Bangalore. Sexual mixing in age was assessed as the difference in age between FSWs and their sexual partners, and the degree of assortativeness in sexual mixing was assessed using Newman's assortativity coefficient. RESULTS: A total of 577 FSWs were interviewed; 418 of whom reported two or more partnerships, resulting in 942 partnerships. In about half (52%) of these partnerships, the age difference between the FSW and her sexual partner was 5 years or more. The degree of assortativity in age mixing was 0.098, indicating minimally assortative mixing. The disassortativeness in age mixing was positively associated with young age and no formal education, and negatively with duration in sex work. Partnerships which were of a commercial nature were more likely to be disassortative than noncommercial partnerships. CONCLUSION: The minimally assortative age mixing indicates sexually transmissible infections can transfer from members of one age group to another. Efforts are required to limit the transmission of infection from one group to other by promoting safer sexual behaviour.

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.

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 score0.221
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.045
GPT teacher head0.337
Teacher spread0.293 · 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