Education, Male Child and Childlessness as Predictors of Spouse Abuse Among Rural and Urban Igbo-Nigerian Women
Bibliographic record
Abstract
This research work investigated education, male child and childlessness as predictors of spouse abuse among Ibowomen living in the rural and urban areas in Nigeria. The purposive sampling was used to select 331 married women, with age range of 22-66, and all living in Imo state. The spouse rape inventory (Sri) developed by Uwaoma, Udeagha and Madukwe, (2011) was used to collect data. The multiple regression analysis of the SPSS II version 15 was used to analyze data. The researchers found education and residential area as significant predictors while male child and childlessness were not significant predictors of spouse abuse. The discussion highlighted the role of education in equipping women with the knowledge of their sexual rights and skills on how to cope with marriage based problems especially when they live in the rural areas. Key words: Education; Abuse; Spouse Abuse; Male Child; Childlessness Resume Ce travail de recherche a etudie l’education, les enfants de sexe masculin et l’infecondite comme des predicteurs de violence conjugale chez les Ibo-femmes vivant dans les zones rurales et urbaines au Nigeria. L’echantillonnage raisonne a ete utilise pour selectionner 331 femmes mariees, avec la gamme d’âge des 22-66, et tous vivent dans l’Etat d’Imo. L’inventaire viol conjoint (Sri) developpe par Uwaoma, Udeagha et Madukwe, (2011) a ete utilise pour recueillir des donnees. L’analyse de regression multiple de la version SPSS II 15 a ete utilise pour analyser les donnees. Les chercheurs ont constate domaine de l’education et residentiel des predicteurs significatifs tout enfant de sexe masculin et l’infecondite sont pas des predicteurs significatifs de violence conjugale. La discussion a souligne le role de l’education a equiper les femmes de la connaissance de leurs droits sexuels et des competences sur la facon de faire face a des problemes de mariage a base surtout quand ils vivent dans les zones rurales. Mots cles: Education; Violence; Violence conjugale; Enfant de sexe mâle; Infecondite
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".