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. InPakistan, where the lowest school enrollment for girls is inPashtun areas borderingAfghanistan, it is especially problematic.Pashtun 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 qualitativeDelphi process and in‐depth interviews withPashtun 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,Jirga (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 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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".