Women, irrigation and social norms in Egypt: ‘The more things change, the more they stay the same?’
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.
Bibliographic record
Abstract
Abstract This paper explores how women and men participate in irrigation activities in Egypt, drawing from a survey administered to 200 men and 202 women and qualitative information from 150 interviews. Women participated in irrigation activities in 78% of the 402 households surveyed, suggesting that women are far more actively engaged in irrigation efforts in Egypt, and possibly in the wider MENA region, than is generally assumed. The diffusion of certain irrigation technologies such as drip, sprinkler and tatweer in recent years has made irrigation more socially acceptable for women to perform although some women had also been irrigating land long before these technologies became available. We identify land ownership, educational attainment, institutional support from government, donors and NGOs, and access to training in irrigational technologies as factors that enable women to optimally undertake irrigation. These factors enabled women to participate meaningfully in public institutions related to irrigation, such as water user associations (WUAs). Finally, we discovered that desire and ability to participate in WUAs declined dramatically for both women and men when institutional support was withdrawn or eroded. Thus, the paper concludes that we must look at a variety of social categories and relationships to understand women's involvement in irrigation and to identify ways to strengthen it.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it