Men and women farmers’ perceptions of adopting improved diets for pigs in Uganda: decision-making, income allocation, and intra-household strategies that mitigate relative disadvantage
Bibliographic record
Abstract
The roles and responsibilities of men and women in east African smallholder pig-raising households and the entitlements each can claim from pig-enterprise income are unknown. The article is a qualitative gender-and-household-head-disaggregated exploration of Ugandan smallholder pig farmers’ perceptions. Asset ownership, control, and access; division of labour; and decision-making related to pig rearing and pig-enterprise income are presented in the context of the potential impact of adopting improved diets for pigs (a productivity improvement). Potential benefits of improved diet adoption included faster pig growth; increased farmer income and pig population; new on-farm employment and produce market opportunities; and improved pig market opportunities and family- and community-level well-being. Contradictory views about the potential impact of diet adoption on labour requirements and feed costs, and the inclusion of seasonal, home-grown ingredients were expressed. Concerns about people and pigs competing for food and personal safety were also voiced. Women allocated pig-enterprise income to provide for their children, household, and extended family, and spent only the remaining income on themselves. Men allocated income to meet personal needs, and to provide for their children, wife, second wife/family, extended family, and lovers. Men and women in female-headed households (WFHH) had overt decision-making ability over the pig enterprise and pig-enterprise income. Some women in male-headed households (WMHH) had overt decision-making ability over the pig enterprise and pig-enterprise income when their husband allowed it, or failed to provide, or was away. Pig ownership and labour investment by WMHH did not guarantee that women had decision-making ability or benefitted from pig-enterprise income. Some WMHH employed covert strategies which mitigated their relative disadvantage. Threat of domestic violence inhibited the decision-making ability of WMHH. Polygyny reduced intra-household communication transparency. Diet adoption could benefit smallholder pig-raising households and farming communities, but lack of funds and human/pig food competition could limit adoption. Men, WFHH, and some WMHH had overt decision-making ability over the pig enterprise and pig-enterprise income. Men allocated income to benefit themselves, and their multiple families and lovers. Women allocated income to benefit their families and spent only surplus income on themselves. Women employed covert strategies to mitigate their relative disadvantage.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 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".