MétaCan
Menu
Back to cohort
Record W2106516481 · doi:10.2989/16085906.2010.545639

The effects of gender and socioeconomic status on youth sexual-risknorms: evidence from a poor urban community in South Africa

2010· article· en· W2106516481 on OpenAlexafffund
Michael Rogan, Michaela Hynie, Marisa Casale, Stephanie Nixon, Sarah Flicker, Geoffrey Jobson, Suraya Dawad

Bibliographic record

VenueAfrican Journal of AIDS Research · 2010
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of TorontoYork University
FundersYork University
KeywordsSocioeconomic statusPsychological interventionPsychosocialPsychologyPeer groupDomestic violenceDevelopmental psychologyDemographyEnvironmental healthPoison controlMedicinePopulationHuman factors and ergonomicsSociologyPsychiatry

Abstract

fetched live from OpenAlex

HIV and AIDS remains one of the most serious problems facing youths in many sub-Saharan African countries. Among young people in South Africa, gender is linked with a number of HIV-risk behaviours and outcomes. The literature suggests that factors such as socioeconomic status, intimate partner violence, and several psychosocial factors contribute to gendered differences in sexual behaviour among youths in South Africa. However, the existing body of literature scarcely addresses the interaction between gender, confounding factors (particularly peer norms) and sexual behaviour outcomes. This study uses a survey design (n = 809) to examine how gender and socioeconomic status moderate the effects of norms and attitudes on higher-risk sexual behaviours among secondary school learners in a low-income community in South Africa. The findings suggest that gender interacts significantly with peer norms to predict sexual behaviour. Peer norms and the experience of intimate partner violence were significantly associated with sexual risk behaviour among girls participating in the study. The article discusses both the wider implications of these findings and the implications for school-based and peer-facilitated HIV interventions.

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)0.011
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.007
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 head0.231
GPT teacher head0.465
Teacher spread0.234 · 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 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

Citations16
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueAfrican Journal of AIDS ResearchSame topicAdolescent Sexual and Reproductive HealthFrench-language works237,207