Analytical Study of the Causal Factors of Divorce in African Homes
Bibliographic record
Abstract
The increasing rate of divorce in African homes is an intricate incident happening among African couples and in the world at large. Family is indeed the bedrock of any continent, and world. The rampant occurrence of divorce in African homes is found to have socio-economic and political effect in the society. Primary data were collected through questionnaires (face-to-face and online) countries across the continent and all were analyzed. The data comprises of sixty married homes, and forty divorcees, consisting of sixty married couples living together, twenty men divorcees and twenty women divorcees were selected at random and given copies of questionnaires. The results showed that respondents perceived barrenness or infertility as the major cause of divorce. It is also followed by other causes such as absence of love, ignorance, poverty, religion differences, unemployment, and others. Marriage counselors were encouraged to carry out more studies in this area in other to find a lasting solution to divorce, effect zero tolerance to divorce in the African homes, and device a means of uniting the divorcees so that Africa as a continent will be emulated and set as a standard for other continents to evaluate their marriage performance. Keywords: causes, divorce, Africa, homes
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".