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Record W2934897887 · doi:10.5539/gjhs.v11n5p10

Knowledge on HIV Prevention Measures Among Male Learners in Secondary Schools in Oshana Region, Namibia

2019· article· en· W2934897887 on OpenAlexvenueno aff
Peneyambeko I. Shikulo, Louise Pretorius, Shifiona Ndapeua, Daniel Opotamutale Ashipala

Bibliographic record

VenueGlobal Journal of Health Science · 2019
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsnot available
Fundersnot available
KeywordsCondomChristian ministryHuman immunodeficiency virus (HIV)Sexual intercourseMedicinePsychologyFamily medicineEnvironmental healthMedical educationPopulationPolitical science

Abstract

fetched live from OpenAlex

Human Immunodeficiency virus (HIV) has continued to pose significant social, economic and developmental challenges worldwide.The purpose of the study was to assess the knowledge on HIV prevention among male learners in secondary schools in Oshana Region. The objectives of the study were to: assess and describe the knowledge of male learners in Secondary Schools in Oshana Region about HIV preventive measures. A quantitative, cross sectional design, based on the self-report of the participants, was utilized to achieve the aim of the study. Findings of this study showed that 95.4% had knowledge that HIV can be prevented by consistent and correct use of a condom during sexual intercourse. It has become evident that much still need to be done to make HIV prevention among youth more effective.It is hereby recommended that the Ministry of Education takes the lead to educate the learners on HIV preventive and control measures.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.100
GPT teacher head0.447
Teacher spread0.347 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2019
Admission routes1
Has abstractyes

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