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Record W2953713894 · doi:10.5539/gjhs.v11n7p176

Factors Contributing to Poor Environmental Hygiene in Kehemu location, Rundu, Namibia

2019· article· en· W2953713894 on OpenAlexvenueno aff
Justina Nakakuwa, Daniel Opotamutale Ashipala, Esther Kamenye, Alice Lifalaza, Marian Sankombo, Laura Uusiku

Bibliographic record

VenueGlobal Journal of Health Science · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsnot available
Fundersnot available
KeywordsHygieneFocus groupEnvironmental healthQualitative researchNonprobability samplingPopulationDumpingMedicineSocioeconomicsEnvironmental planningGeographyBusinessSociologyMarketing

Abstract

fetched live from OpenAlex

Solid waste management in Rundu, Namibia, is a major challenge, resulting in significant environmental health hazards. The purpose of this study was therefore to identify and describe the factors contributing to poor environmental hygiene specifically in Kehemu location in Rundu, while the objectives were to explore the factors contributing to poor environmental hygiene in the area. A qualitative approach was employed comprising an explorative and descriptive design. The research population for this particular study consisted of residents of Kehemu location and a sample was drawn from this population using purposive sampling. Data were collected from focus group discussions conducted with 15 (fifteen) residents. The transcribed interviews and narratives from the research notes were organised into codes, main themes and sub-themes. The results from this study revealed, among other things, that the methods used by most households for disposing of waste included digging holes, burning the waste and dumping it in open areas. In addition, factors contributing to poor environmental hygiene in Kehemu location include a lack of dumping sites, dustbins and refuse removal services. The findings of this study call for well-articulated actions to address the factors identified as being associated with poor environmental hygiene in Kehemu. The study recommends that the town council should empower the community by providing dustbins, initiating clean-up campaigns and providing education and awareness-raising as some measures for curbing problems related to environmental health.

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)0.003
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 score0.066
Threshold uncertainty score0.869

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.016
GPT teacher head0.287
Teacher spread0.271 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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