Sweet Success? Interrogating Nutritionism in Biofortified Sweet Potato Promotion in Mwasonga, Tanzania
Notice bibliographique
Résumé
This thesis is an ethnographic study of the promotion of biofortification, and specifically biofortified sweet potato (OFSP) as a solution to malnutrition in the Mwanza region of Tanzania, a major sweet potato producing area in the country.Through a feminist lens, I examine sweet potato, commonly considered a 'women's crop' in Tanzania, and the campaign to promote its use as entry-points to analyze the intersection between women's dynamic engagement in food-related labour and the gendered, economic and social conditions in which women sweet potato farmers' livelihoods are situated.Funded by private foundations and international agricultural research centres, biofortified sweet potato campaigns targeted thousands of women farmers in several Sub-Saharan African countries to address malnutrition by increasing the nutrient content of staple, subsistence crops such as sweet potato.My findings show that OFSP promotion reinforced existing normative gendered food production roles as well as scientific, technical interpretations of nutrition, while disregarding how socio-economic and environmental conditions mediate every day and seasonal dietary practices.A close examination of the research activities and marketing of biofortified sweet potato reveal the inherent gendered and social inequalities embedded in current strategies to address nutrition in agricultural development programs in Tanzania.My research suggests that women's associated labour and varying perceptions of nutrition were under-acknowledged in such campaigns.Analysis of discursive and material networks embedded in OFSP campaigns revealed both the intended and unintended long-term and seasonal, social, economic, health and environmental implications of these campaigns and their oversights on sweet potato producers in Mwasongwe village since 2006.As a result, OFSP benefits to the female sweet potato producers in my study remained short-term, uncertain, and dependent on external financing and international partnerships, and on individual farmers' access to economic, social and environmental assets.This thesis could not have been possible without the generosity and kindness of the numerous collaborators with whom I spent many months in Tanzania.In Mwanza, I am indebted to the residents of Mwasongwe village, members of Imala Gihabu, the technical and science staff at Ukiriguru institute and the regional staff at Helen Keller International and the Tanzania Home Economics Association (TAHEA).Stephen and Loyce Veryser not only provided me with accommodation during my fieldwork, but also insightful evening discussions.In Arusha, invaluable logistical support offered by my Farm Radio International family allowed me to smoothly set up and carry out the fieldwork.My research partner, Anna Bayona, accompanied me every day into the field.Through her openness and kindness, she allowed for lively and engaging interactions with the diverse range of residents in the region.Dr. Rose Shayo at the University of Dar Es Salaam offered initial contextual understanding and entrance into the research community in Tanzania.Dr. Regina Kapinga assisted me in selecting my field site.
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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 | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,005 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,000 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 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 ».