New Directions for Assessing Menstrual Hygiene Management (MHM) in Schools: A Bottom-Up Approach to Measuring Program Success (Dispatch)
Bibliographic record
Abstract
Jackie Kirk pioneered research on global menstrual taboos, which initiated critical conversations about how the silence surrounding menstruation affects girls and women's wellbeing.The 2006 Kirk and Sommer article "Menstruation and Body Awareness: Linking Girls' Health with Girls' Education" reviewed project experiences from Uganda, India and Sudan, identified challenges that girls and women experience when menstruation is taboo, and proposed early programmatic solutions.They highlighted challenges with menstrual knowledge, menstrual hygiene, and stigma, and linked those challenges to educational constraints for girls -findings that researchers are continuing to uncover in other contexts today.They noted:Where girls are able or determined to attend school throughout menstruation, the insufficient facilities and sanitary protection may nevertheless create discomfort for girls in the classroom and an inability to participate.(Kirk & Sommer, 2006, p. 8)
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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 | 0.055 | 0.069 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".