Cohabitation Among University Students in Oyo State, South West Nigeria; Causes and Consequences: Implications for Counselling
Bibliographic record
Abstract
The investigator embarked on the research to find out the causes and consequences of cohabitation among university students in Oyo State, South-West Nigeria. In order to carry out the investigation, the researcher formulated two research questions and one hypothesis to guide the investigation. The researcher constructed an instrument known as “Cohabitation Among University Students, Causes and Consequences Questionnaire” (CAUSCCQ) to collect information from the respondents. The investigator carried out a reliability test of the instrument using the test re-test method. A reliability coefficient of 0.85 was obtained showing that the instrument was reliable to carry out the research. The items of the instrument had face and content validity as well as language appropriateness. The researcher used 3 research assistants to administer 271 copies of the instrument on the respondents. The research assistants retrieved 245 copies of the questionnaire. The researcher scored, collated and made use of the mean and standard deviation to answer the two research questions while one-way Analysis Of Variance ANOVA was used to test the hypothesis. The investigation revealed in Table 1 that some students cohabit because of high on-campus accommodation fee, with mean score of 2.79, some others cohabit due to financial difficulties in order to save on rent, food and other expenses and also as a result of their freedom from parental control and supervision. The research found out in Table 2 that one of the consequences of cohabitation is unwanted pregnancy with mean score of 3.52. The investigation also revealed in Table 2 that unwanted pregnancy may result into abortion with mean score of 3.49. Finally, the research found out that there is no significant difference among Federal, State and Private university student cohabiters in their assessment of the consequences of cohabitation. It is therefore recommended that Federal, State and Private owners of universities should put up adequate number of halls of residence for students.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".