Agricultural training for Pakistan’s rural women
Bibliographic record
Abstract
While women play an equally important role as men in Pakistan's farming systems, they typically have little access to information on modern farming techniques due to cultural rules that prevent them interacting with male agricultural extension staff. In 2013 and 2014, CABI initiated farmer training activities specifically targeting women in two areas of the country: Gilgit-Baltistan in the high north, and southern Punjab in the flatter central part of Pakistan. In the north, CABI worked with a local development project to set up farmer field schools for both men and women; these focused on production of tomatoes and dairy livestock. In southern Punjab, CABI's Skills for Farms project ran a series of three-month, village-based training courses in kitchen gardening and grain storage, targeting women between 16 and 35 years old. In each case, the training courses were designed to focus on household farming activities that are typically the responsibility of women.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.004 | 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 teacher head, 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".