Engaging men for gender justice: Overcoming barriers to girls' education in the Pashtun tribes of<scp>P</scp>akistan
Bibliographic record
Abstract
Resistance to girls' education is a social justice and human rights issue in many countries. In P akistan, where the lowest school enrollment for girls is in P ashtun areas bordering A fghanistan, it is especially problematic. P ashtun society is patriarchal: Men have the power to construct obstacles to girls' education, and to remove them. This article therefore explores a different way of overcoming barriers to gender justice, namely through the participation of men. A qualitative D elphi process and in‐depth interviews with P ashtun men led to their consensus on seven key points of leverage where action could be taken. Participants agreed that progress toward gender parity could be achieved only by making allies of powerful community leaders, especially religious leaders, and by utilizing existing institutions, such as the mosque, J irga (council of elders), and the men's guest house. For each point of leverage, a policy recommendation is made for increasing girls' participation in education.
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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 | 0.002 | 0.002 |
| 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 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".