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Record W2801821909 · doi:10.5539/gjhs.v10n5p197

Factors Influencing HIV/AIDS and Risky Sexual Behaviour Among Learners in South Africa

2018· article· en· W2801821909 on OpenAlexvenueno aff
Pelonomi F. Malga, Boitumelo Marilyn Patience Setlalentoa, Choja Oduaran, Nopasika Maforah

Bibliographic record

VenueGlobal Journal of Health Science · 2018
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsnot available
Fundersnot available
KeywordsThematic analysisSexual intercourseHuman immunodeficiency virus (HIV)PsychologyReproductive healthMedicineClinical psychologyDevelopmental psychologyQualitative researchDemographyEnvironmental healthFamily medicinePopulation

Abstract

fetched live from OpenAlex

HIV/AIDS is a global health concern and young people are more at risk of being infected. The explored factors that contribute to HIV/AIDS and risky sexual behaviour among learners aged 12-18 years in Vuyolwethu High School. The study focused on learners who were in Grade 10-12. This study employed a mixed method research. Quantitative phase was limited to learners while the qualitative phase focused on life-orientation teachers. The total study sample is 150, and the gender distribution is equally distributed at 50% for both males and females. The dominating age and grade among respondents is age 17-18 years and grade 11. Quantitative data were subjected to descriptive analyses while thematic analysis is employed for analysis of qualitative data. Overall, about 51.3% of the respondents strongly agreed that engaging in sexual intercourse without protection is risky, and that unprotected sexual activity can lead to unwanted sexual encounters, unwanted teenage pregnancy and HIV/AIDS. Similarly, substance abuse is found to be a key factor that influences risky sexual behaviour among adolescents, thus resulting to unwanted pregnancies and HIV/AIDS infection. The main conclusion drawn from the findings is that while adolescents seem to be knowledgeable on the factors that contribute to risky sexual behaviour, this knowledge does not lead to attitude change. It is therefore recommended, based on the study’s findings, that there should be more focused training programmes directed not only at knowledge but also attitude and behaviour change.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.110
GPT teacher head0.430
Teacher spread0.321 · 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

Citations8
Published2018
Admission routes1
Has abstractyes

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