Living Conditions and the Path to Healing Victim’s Families after Violence in Southern Thailand: A Case Study in Pattani Province
Notice bibliographique
Résumé
This study aimed to investigate the living conditions of victims’ families from the unrest in Pattani, Thailand, and to evaluate the success of the “healing victims’ project”. A total of 284 victim families in Pattani province were interviewed during January to October 2007. The informants were most commonly the victims’ wife (73%), were on average 42.2±12.8 years of age. The majority of victims were male (95.8%), were the head of the family (84.5%), of working age (45.9 ± 12.4). 51.4% were Muslim. Most were married (85.9%) and 88.5% of the victims had children. The most common educational level was primary (48.8%) and the most common occupation was agriculture (19%). Most were shot (88%) and 65.1% died. Of all victims, 19.4% incurred asset damage. There were a median of 3 (0 - 9) dependents per family. Aspects of family life that deteriorated most severely after the assault were their sense of personal security and total value of their assets (70.4%) followed by stress (66.6%) and financial problems (65.9%). Aid was received from either government or private sectors by 96.5% of families but 64.1% reported that it fell short of needs. The most urgent need for aid was financial (40.6%), scholarship for children (22.6%) and personal security and assets (16.6%). In practice the most frequent aid received was financial (92.7%). There were 732 children from 284 victim families. The average age was 17.1 ± 10.4 years and 54.2 % were female. Although most of victims’ families received some aid, there is a need to monitor system and comprehensive and swift assistance for those affected.
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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) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 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 ».