DETAILING THE SOCIAL CONTEXT OF INEQUALITY IN THE RURAL AREAS OF EDO AND DELTA STATES OF SOUTHERN NIGERIA
Notice bibliographique
Résumé
Inequality in societies is a broad-based theme, which is subject to various socio-demographic contextualisations apart from gender. This study considers social inequalities in the rural areas of Delta and Edo States of Southern Nigeria, in the context of four social markers, which are gender, age, marital status and educational qualification. The study was carried out using 3,188 questionnaire copies administered in six (6) Local Government Areas (LGAs) of both states. The results showed that although income did not vary significantly between males and females, F (1, 3186) = 0.915, p = 0.339, males had a higher mean income scale compared to females. This was observed despite women having significantly less input into decisions concerning farm and non-farm economic activities (p = 0.00). Women also reported higher working hours in the primary sector only (p = 0.00) and fewer sleep hours daily (p = 0.69). In terms of age, middle-aged adults (40 – 59 years) and the elderly (60 years and above) had higher monthly income scales (p = 0.00), higher levels of input into decisions on farming activities (p = 0.00) and spent more hours in unpaid productive work on a typical day (p = 0.11) compared to the younger age groups. However, the younger adults (20 - 39 years) spent the most hours working on a typical day (p = 0.00). In terms of marital status, married adults had the highest scale of monthly income (p = 0.00), perhaps due to support from their spouses. Widowed and separated/divorced adults had more input into decisions on household farming activities (p = 0.00). For inputs into decisions on non-farming economic activities and the use of income from non-farming activities, single adults had the highest scale (p = 0.00). Also, adults with no formal education and those with primary educational qualifications had a higher scale for monthly income and higher levels of input into decisions on farming economic activities (p = 0.00), compared with those with secondary and tertiary educational qualifications. However, those with secondary and tertiary educational qualifications had more input into decisions on non-farming economic activities. The study recommends the re-orientation of family and community values to support the vulnerable groups in society, such as women, youths, the elderly and the widowed. It also recommends that indigenous skills aimed at sustaining livelihood be acquired irrespective of the educational qualification attained.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».