Child maltreatment prevention readiness assessment: South Africa
Notice bibliographique
Résumé
Despite the attention to service-oriented policy, a number of challenges remain, including the high number of youngest children (0 to 4 years) who do not have access to early childhood development services. A study of ECD services in the Western Cape Province found that service integration for younger children was consistently poor while identification and referral of children with problems were seldom done at community level. Furthermore, ECD site management did not engage proactively with families of children who have problems and provide support or encourage attendance of ECD facilities (Dawes, Biersteker & Hendricks, 2009). Early childhood phase is critical in determining the development of a child but in poor resource contexts children's ability to realize their potential is undermined by risk factors in early life including low stimulation and poor nutrition (Walker et al, 2007). A study of children's court inquiries in the Western Cape province indicated the potential role of ECD-linked child care to reduction of child maltreatment of children aged 0 to 4 years who were affected by statutory removals (Makoae, Dawes, Loffell & Ward, 2008). There is a high prevalence of youth who bear children in their adolescence. The adolescent fertility rate (births per 1000 women aged 15-19) is estimated at 58 births per year (World Data Bank, 2008). What makes child bearing among teenagers in South Africa a social concern is that it mostly occurs outside marriage; disrupts schooling, does not lead to marriage and contributes to the widespread situation of 'absent fathers' during a child's upbringing. Children born to young mothers grow up with fewer opportunities for development provided by families than with present fathers. Furthermore, maternal poverty, due to low educational attainment and consequent poor incomes, contributes to stressful parenting among young single mothers (Panday et al, 2009). Maternal education deficit has been associated with negative child welfare, education and health outcomes (Ardington et al, 2011). A study using the Cape Area Panel Study data, waves 1 to 4 of this longitudinal study of young people in Cape Town since 2002, found that teenage child bearing had poor health outcomes for children an intergenerational effect of poor health as indicated by children who were underweight, shorter than their age and stunted (Branson, Ardington & Murray, 2011). Despite the commitment by the democratic state through its institutions and partnerships with its national and international development partners to promote equal opportunities and the wellbeing of all children, childhood in South Africa continues to be affected by several threats and vulnerabilities, a number of which are directly and indirectly due to violence. For instance, children may be directly affected if caregivers use corporal punishment; they may be indirectly affected if their caregivers die in violent incidents.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».