Contemporary Trend of Drug Abuse Among In-School Adolescents in Kwara State, Nigeria
Bibliographic record
Abstract
Presently, drug abuse has become a societal problem with its prevalence being found among adolescents in Nigeria. This study focuses on the contemporary trend of drug abuse among in-school adolescents in Kwara State, Nigeria. The study employed the use of a descriptive survey design. One hundred respondents were chosen for the study through the use of a simple random sampling technique from the three Senatorial districts of Kwara State. In total, three hundred adolescents participated in the study. The respondents were stratified on the basis of age and gender. In order to ascertain the validity of the instrument of this study, copies of the questionnaire were given to experts and lecturers in related fields for vetting. A reliability index of 0.75 was obtained using a test-retest method. The instrument used for this study was tagged “Trends of Drug Abuse Questionnaire” (TDAQ). The outcome of this research revealed that a significant difference existed in in-school adolescent’s perception on the contemporary trend of drug abuse based on age. However, on the basis of gender, the respondent’s perceptions were similar. Given these results, it is recommended that drug refusal skills as well as drug education be incorporated into students’ orientation programs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".