Sex Education and Teenage Pregnancy in the Niger Delta: Implications for Secondary School Biology Curriculum in Nigeria
Bibliographic record
Abstract
Previous studies show that when Nigerian adolescent girls, especially those in the Niger Delta, become pregnant theydrop out of school and may never go back again but become low level labourers or miscreants to the society. Thisstudy investigated the extent of teenagers involvement in sex, pre-disposition of females to pregnancy in the NigerDelta of Nigeria, the level of readiness of parents to help their teenage daughters if they become pregnant, the levelof sex education in secondary schools, the content and context of sex education in the Biology curriculum and how itis reflected in the National policy on education and also examined the need to review the policy vis-à-vis sexeducation. The study adopted a survey design using Likert-response questionnaires to elicit responses from students,parents, secondary school teenagers and Biology teachers. The results of the analysis using frequency counts,percentages, and analysis of variance (ANOVA) revealed that teenage pregnancy is on the increase in the NigerDelta, sex education is not given a place of priority in the Education National Policy, teachers shy away fromteaching it in schools, parents do not support sex education in schools but there is an urgent need to incorporate itinto the Biology curriculum.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".