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Record W2938464785 · doi:10.5539/gjhs.v11n5p133

Views of Teachers and Hostel Matrons on the Landscape of Substance Abuse Amongst the Youth in the Northern Region of Namibia

2019· article· en· W2938464785 on OpenAlexvenueno aff
Janetta Ananias, Jabulani Calvin Makhubele, Miriam Winnie Hasheela, Ndanyakuwa Ilonga Hamuse Tiberia, Rachel Freeman, Prudence Mafa, Frans Koketso Matlakala, Beatrice Namoonga Chilwalo, Selelo Frank Rapholo, Svinurai Anesu

Bibliographic record

VenueGlobal Journal of Health Science · 2019
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsnot available
FundersNational Research Foundation
KeywordsChristian ministryNonprobability samplingLaw enforcementSubstance abuseThe artsQualitative researchMedical educationCriminologyPolitical sciencePsychologyMedicineSociologyEnvironmental healthPsychiatryLawSocial sciencePopulation

Abstract

fetched live from OpenAlex

AIM: This research project aimed at exploring the views of secondary school teachers and hostel matrons on the landscape of substance abuse amongst the youth at a border town situated in the northern region of Namibia. METHOD: In this qualitative study, in-depth interviews were conducted with secondary school teachers and hostel matrons, selected by means of a purposive sampling method from five schools representing state schools and private schools. Ethical approval was obtained from the University of Namibia’s ethical approval committee, whilst permission to conduct the study was obtained from the Ministry of Education, Arts and Culture, Namibia.  Participation was voluntary and based on informed consent. FINDINGS: The themes identified in the study were amongst others; the types of substances used by the youth, the use of substances on school premises and easy access/availability of substances. CONCLUSION: The study concluded that substance abuse seems to be normalised in the community because of the excessive availability of alcohol in the community. The need for law enforcement and law reform as well as prevention programmes at all levels of society is highlighted.

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)0.008
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 score0.034
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.100
GPT teacher head0.399
Teacher spread0.298 · 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

Citations10
Published2019
Admission routes1
Has abstractyes

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