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Record W4403998187 · doi:10.18357/ijcyfs153202422165

YOUTH WORKERS’ EXPERIENCE REGARDING SEXUAL AND REPRODUCTIVE HEALTH EDUCATION IN SECONDARY SCHOOLS

2024· article· en· W4403998187 on OpenAlexvenueno aff
Thulani Andrew Chauke

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2024
Typearticle
Languageen
FieldComputer Science
TopicEducational Systems and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsReproductive healthSociologyPsychologyDemographyPopulation

Abstract

fetched live from OpenAlex

The alarming prevalence of HIV/AIDS and unwanted pregnancy among learners is of considerable concern. This study aimed to explore the barriers encountered by youth workers in implementing sexual and reproductive health education (SRHE) in secondary schools South Africa in the Western Cape province of South Africa and also to explore the benefits these youth workers bring. Qualitative methods and individual interviews were used to gather data. The findings show that cultural socialisation remains a major barrier to the effective implementation of SRHE by youth workers. Positive outcomes from the presence of the youth workers in schools include an increase in learners’ self-esteem and greater acceptance of moral values such as good citizenship and respect for others regardless of differences. Accordingly, this study recommends integrating youth workers into the schools by adding SRHE to the curriculum and having it implemented by them. When such programmes are set up, the role of youth workers in schools should be clearly articulated to avoid conflict between teachers and youth workers.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0060.003
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.002
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 head0.037
GPT teacher head0.343
Teacher spread0.305 · 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 designQualitative
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

Citations2
Published2024
Admission routes1
Has abstractyes

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