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Record W2914073490 · doi:10.1080/13691058.2019.1568578

Gender role conflict and sexual health and relationship practices amongst young men living in urban informal settlements in South Africa

2019· article· en· W2914073490 on OpenAlexaff
Kalysha Closson, Abigail M. Hatcher, Yandisa Sikweyiya, Laura Washington, Smanga Mkhwanazi, Rachel Jewkes, Kristin Dunkle, Andrew Gibbs

Bibliographic record

VenueCulture Health & Sexuality · 2019
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMasculinityTransactional sexCasualPsychologySocial psychologyScale (ratio)Developmental psychologyDemographyGeographySociologyPolitical sciencePopulation

Abstract

fetched live from OpenAlex

Qualitative research suggests that men's inability to achieve dominant forms of masculinity may be related to HIV-risk behaviours and intimate partner violence (IPV) perpetration. Using clustered cross-sectional data, we assessed how young men's gender role conflict was associated with HIV-risk behaviours in urban informal settlements in KwaZulu-Natal, South Africa. Gender Role Conflict and Stress (GRC/S) was measured using a South African adaptation of the GRC/S scale comprising three sub-scales: subordination to women; restrictive emotionality; and success, power and competition. In random-effect models adjusting for socio-demographics, we tested the relationship with GRC/S sub-scales and sexual health behaviours (transactional sex, use of sex workers, ≥2 main partners and ≥2 casual/once off partners), and relationship practices (relationship satisfaction, relationship control, partnership type and perpetration of IPV). Overall, 449 young men (median age = 25, Q1, Q3 = 23-28) were included in the analysis. Higher GRC/S scores, denoting more GRC/S, were associated with increased relationship control and increased odds of having ≥2 casual or one-off partners and engaging in transactional sex. We found differences in associations between each sub-scale and sexual health and relationship practices, highlighting important implications for informing both theoretical understandings of masculinity and gender transformative efforts.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.172
GPT teacher head0.441
Teacher spread0.269 · 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

Citations35
Published2019
Admission routes1
Has abstractyes

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