A feminist political ecology of agricultural innovations in smallholder farming systems: Experiences from wheat production in Morocco and Uzbekistan
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".