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Enregistrement W2300049803 · doi:10.14288/1.0055583

The women-in-development efficiency approach : a case study of programming income generation in a Chinese village

2009· article· en· W2300049803 sur OpenAlexaffabout
Diane O. Tyler

Notice bibliographique

RevuecIRcle (University of British Columbia) · 2009
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueGender, Labor, and Family Dynamics
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésRural developmentEconomic growthBusinessEconomicsGeographyAgriculture

Résumé

récupéré en direct d'OpenAlex

In the 1970s, international development planners began to recognize women's important roles in their communities. A variety of approaches to include women have since evolved, and their merits are debated. They have been described in the literature as "welfare," "Women-in-Development" (WID), and "Gender and Development" (GAD). The welfare approach focuses on basic needs while strengthening women's homemaker and reproductive roles. The WID approach is based on increasing women's incomes as a means toward empowerment. The Gender and Development (GAD) addresses systemic gender discrimination. There is need for research in development planning. Development programs track results during the project, but seldom look at long term impacts and sustainability. This thesis reports the results of research on a 1991 WID efficiency approach, women's income generation project in Shaanxi Province, China, by examining the impact seven years later. My methodology involved interviews with twenty-one women project participants, eight husbands, village leaders and informal lunch-hour focus group discussions with villagers. The project involved transition from grain to orchards. The orchards dramatically increased women's incomes and improved the quality of village life. The women took full control of orchard management, pushing men out of the orchards saying that they were "incapable" of the monotonous orchard tasks. Most husbands found off-farm jobs, diversifying household incomes. Women gained marketing skills, self-confidence, and financial independence, but remained vulnerable as primary producers to income fluctuations. Most women stayed outside village politics, and traditional gender role socialization was maintained. The project fulfilled women's needs and interests, however, long term results for women are mixed. The Shaanxi field project was one of sixty-six field projects under the Canada- China Women-in-Development Project (1990-1995) implemented in partnership by the Canadian International Development Agency (CIDA) and the All-China Women's Federation. The project had two components: poverty reduction and institutional strengthening of the Women's Federation. I was the Canadian co-manager of the Canada-China WID Project, and have since completed more than thirty contracts (fifteen projects) plus a two-year contract as co-manager of the Canada-China Women's Law Project (one year of which was full-time in China). My research is intended to assist and improve my future work in the development field, and to inform those interested in women's development program planning and gender equality policy. Good planning was key to the strength of the Canada-China WID Project. Partners shared a common goal. CIDA's efficiency approach supported the Women's Federation policy to bring women into production as a means of achieving equality. Participatory planning and decision-making involved Federation project officers across China. Delegation in management and clear, commonly set guidelines increased partners' involvement and accountability. Power in planning gradually, and tacitly, transferred to the Women's Federation as they assumed ownership and responsibility for results. Strong donor/recipient partnership and participatory planning processes strengthen potential for sustainable results. Suggestions to improve women's development planning include: increasing gender awareness, strengthening women's interest and capacity in political participation, developing risk mitigation strategies to lessen income insecurity, blending WID/GAD projects, and further research on project impacts.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,027
Score d'incertitude au seuil0,054

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0140,004
Communication savante0,0020,001
Science ouverte0,0020,004
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,012
Tête enseignante GPT0,216
Écart entre enseignants0,205 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2009
Routes d'admission2
Résumé présentoui

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