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A feminist political ecology of agricultural innovations in smallholder farming systems: Experiences from wheat production in Morocco and Uzbekistan

2023· article· en· W3159820634 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGeoforum · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of Guelph
FundersConsortium of International Agricultural Research CentersBill and Melinda Gates Foundation
KeywordsAgricultureSnowball samplingPoliticsKinshipProduction (economics)Agricultural productivityField (mathematics)SociologyEconomic growthPolitical scienceEcologyEconomicsBiology

Abstract

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A clear consensus has emerged that innovations are important for adapting to drought and overcoming other biophysical limitations in smallholder farming systems; however, women are notably marginalized from agricultural innovations. We examine whether and how gendered roles and responsibilities shape the adoption and usage of improved wheat varieties and simultaneously uncover opportunities to address and lessen gender-based differences in agricultural innovations. The field data were collected using snowball sampling from seven communities (three in Morocco and four in Uzbekistan) among 574 farmers (half men and half women) of different generations, genders, social statuses, and social classes. Our findings demonstrate how the complex interactions of biophysical constraints, intra-household (spousal and kinship) relations, and the broader macro-level political economy of agriculture converge to influence different identities of women and men farmers' wheat production and processing practices. We argue that without focusing on the socio-cultural factors affecting agriculture, new seed varieties alone cannot address the multifaceted problems confronting farmers in all parts of the world.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.229
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it