Psychosocial Problems of Rape among Secondary School Students as Perceived by Parents in Ilorin South of Kwara State
Bibliographic record
Abstract
This study examined the psychosocial problems of rape in Ilorin South of Kwara State. A descriptive survey design was employed in the study. The population consisted of parents in Ilorin South of Kwara State, with a sample of two hundred and twenty respondents being selected through a multistage sampling method. A researcher designed instrument tagged ‘Psychosocial Problems of Rape Questionnaire (PPRQ)’ was used to collect data. The instrument was well validated by experts in test and measurement. Reliability was ascertained through a test retest method which yielded a reliability co-efficient of 0.77. One research question and four hypotheses guided the study. Data was analysed with mean and rank order, t-test and Analysis of variance. Hypotheses were tested at a 0.05 level of significance. Findings revealed that the psychosocial problems of rape include: an inferiority complex, a feeling of being unsafe, a low self-esteem, depression, emotional stress, social withdrawal, among other problems. Findings also showed that age, gender and religion did not influence the respondents or their responses on the problems of rape, while they differed in their responses based on their educational level. Based on the findings, it was recommended as follows: government should set up serious measures to tackle incidences of rape in schools and punish the rapists severely, and schools should, through counselling, educate the students on how to avoid being victims of rape. Schools should also be fenced all round.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".