The Influence of Knowledge and Awareness of Sexually Transmitted Diseases (STDs) on Change in Sexual Behaviour of Fresh Undergraduates of the Obafemi Awolowo University, Ile-Ife, Nigeria
Bibliographic record
Abstract
The study examined the influence of knowledge and awareness of sexually transmitted diseases on change in sexualbehaviour of fresh undergraduates with a view to providing useful suggestions for positive sexual behaviour ofadolescents. The study adopted the descriptive survey design. A sample of 600 fresh undergraduates was selectedfrom the thirteen Faculties in O.A. U.; Ile-Ife, using convenience sampling technique. An adapted instrument titled“Questionnaire on Knowledge, Awareness of STDs and Sexual Behaviour” (QKASSB) was used to collectinformation from the respondents. The results showed that 93% of the fresh undergraduates had knowledge of themeaning of STDs, 88% of the respondents reported that they had awareness of STDs through media such as radio,television, internet etc. 88% of the respondents considered maturity as the first reason for change in fresh students’sexual behaviours. Finally, the result revealed a significant influence of sexual behaviour of fresh undergraduatesbefore and after gaining admission into university (t-test = 9.039, p < 0.05). It was concluded that freshundergraduates had better knowledge and got awareness of STD; But their exposure to new school environment hadpredisposed them to change in sexual behaviours.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".