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Record W2766830917 · doi:10.5430/wje.v7n5p58

Effects of Child Abuse on the Academic Performance of Primary School Learners in the Manzini Region, Swaziland

2017· article· en· W2766830917 on OpenAlexvenueno aff
Sylvia Lungile Dlamini, Davison Makondo

Bibliographic record

VenueWorld Journal of Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
Fundersnot available
KeywordsChristian ministryPsychologyFocus groupGrassrootsQualitative researchPopulationPedagogyMedical educationMathematics educationSociologyPolitical scienceMedicineSocial science

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate the effects of child abuse on the academic performance of primaryschool learners in the Manzini Region of Swaziland. The study was qualitative in nature and utilised thephenomenological research design. The target population were the abused learners from the Manzini primary schools.Data were collected from 15 abused learners and their class teachers in four schools. The critical case purposivesampling method was used to select these schools. Thus, only those schools that had abused learners wereselected.Semi-structured interviews focus group discussion and document analysis were used to collect data. Thefindings showed that a majority of the abused learners underperformed as a result of abuse andbecame suspiciousofevery person around them and this had a negative bearing to their academic performance. Some became antisocialand adopted a misdirected rancorous attitude to everyone around them. Thus in the main, the study concludes thatchild abuse affects the academic performance of learners at primary school level. Based on the findings, the studyrecommends that the stakeholders; parents, school administrators and teachers included, should work hand-in-hand inhandling abused learners in order to help them overcome their challenges and improve theiracademic performance andsocial life. In addition to that, the relevant ministries (Police, Child and Social Welfare and the Ministry of Educationand Training) should assist in curbing child abuse at grassroots level.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.143
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.289
Teacher spread0.275 · 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.

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

Citations9
Published2017
Admission routes1
Has abstractyes

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