Harvesting rainwater for food security: farmersâ perceptions of the Boardwalk Cisterns Program in Alagoas, Brazil
Notice bibliographique
Résumé
INTRODUCTION: Boardwalk Cisterns is a government program that aims to attend a population with precarious access to water in Brazil. Developed as part of the Zero Hunger strategy, it intends to increase food security and contribute to the realization of the human right to food. The objective of this study was to assess farmers' perceptions of the Boardwalk Cisterns program and its impact on the food security situation of beneficiary households. METHODS: Data were collected through a descriptive cross-sectional quali-quantitative survey. Questionnaires were applied to farming families selected from two municipalities in the state of Alagoas (Northeast Brazil), containing questions on sociodemographic characteristics, production methods, and food security status. The Free Evocation Technique for social representation, analyzed through the software Ensemble of Programs Permettant L'analyze des Évocations, was used to ascertain farmers' perceptions of the program. RESULTS: The study showed a positive perception of the interviewees in relation to the boardwalk cisterns. The program brought some improvement in the agricultural production conditions and, consequently, in the food security situation of the households. Corn, beans and cassava were the most common crops, with almost half of this production (48.3%) destined for consumption by the families themselves. Farmers also reported having more water, allowing them to plant more fruit trees, as well as medicinal and ornamental plants. Nevertheless, 79.1% of the households interviewed were still in a situation of food insecurity, of which 28.1% were classified as mild food insecurity, 26% as moderate food insecurity, and 25% as severe food insecurity. CONCLUSION: Farmers were correct in their perception that the Boardwalk Cisterns program improved their food security situation. The program resulted in greater access to water, and greater production and consumption of food. However, by itself, the Boardwalk Cisterns program was not enough to raise beneficiary families above their food-insecure status. The program alleviated the problem of food insecurity, but other complementary government interventions are needed to guarantee the food security of families living in extreme poverty.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».