Causes of Infidelity as Expressed by Literate Working-Class Women in Lagos State, Nigeria
Bibliographic record
Abstract
The act of infidelity is increasingly high among women and it is causing great concern for stakeholders. This study, therefore, investigated the causes of infidelity as expressed by literate working-class women in Lagos State. The study also examined whether moderating variables such as age and the educational qualification would affect the respondents’ views. A descriptive design was adopted for the study. A total of 300 respondents were drawn from the target population using purposive random sampling and simple random sampling techniques. A researcher-developed questionnaire tagged Causes of Infidelity (CIQ) was used to collect the data. The validity of the questionnaire was established by three experts in the Department of Counsellor Education, University of Ilorin. The reliability of the questionnaire was determined using a split-half method and a correlation coefficient of 0.74 was obtained. The data collected were analyzed using Analysis of Variance (ANOVA) at 0.05 alpha level. Results showed that lack of care and attention, nonchalant attitude of the husband, lack of emotional support, etc. are the causes of infidelity among women. It also showed that there was a significant difference in the causes of infidelity as expressed by literate working-class women based on age but there was no difference based on educational qualification. It was concluded that counsellors should organize seminars for couples to disseminate information on the causes of infidelity among women for possible solutions.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".