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Record W1564217112 · doi:10.5539/gjhs.v8n1p217

Indigenous Knowledge of Herbal Medicines among Adolescents in Amassoma, Bayelsa State, Nigeria

2015· article· en· W1564217112 on OpenAlexvenueno aff
Gideon O. Alade, Ese Okpako, Kola’ K. Ajibesin, O.R. Omobuwajo

Bibliographic record

VenueGlobal Journal of Health Science · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEthnobotanical and Medicinal Plants Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousTraditional medicineTraditional knowledgeMedicineState (computer science)GeographyBiologyComputer scienceEcology

Abstract

fetched live from OpenAlex

BACKGROUND: The use of herbal medicines in Nigeria is on the increase. Documented Population based data on the use of herbal medicinal products and indigenous knowledge among the younger generations are lacking in Nigeria and Africa at large. AIM: The aim of this study is to investigate the extent of use and general knowledge of herbal medicines among adolescents in the Niger Delta Region of Nigeria. METHODS: The study covered a total of Two hundred and twenty-eight adolescents randomly selected in Senior Secondary Schools (SSS 1-3) in Amassoma using a semi structured questionnaire/Interview and informal conversation on the respondents. FINDINGS: Nearly all (97%) the respondents have had contact with herbs. Less than 1% had contact with herbs through formal education (teachers/literatures). Stimulation of interest was majorly through parents (53%). Grandparents were the highest (46%) of custodian of indigenous knowledge. Parents were the next (39.7%). Only 39% of the respondents would prefer the use of herbal medicine to modern medicine. Fever was the main ailment mentioned followed by eye ailment and stomach ache. Vernonia amygdalina was the main plant for the treatment of fever. CONCLUSION: The study revealed that parents are the major custodians of knowledge being transferred to the younger generation and little or none is learnt from Schools. There is therefore the need to include the study of herbal medicines in School's curricula especially at SS 2 and SS 3 since they are matured enough to appreciate the importance of Herbal medicine so as to prepare them for the promotion of herbal medicine in future and to preserve our indigenous knowledge.

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 score0.038
Threshold uncertainty score0.248

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 studies0.0000.001
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 head0.037
GPT teacher head0.320
Teacher spread0.283 · 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

Citations19
Published2015
Admission routes1
Has abstractyes

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