From Fertility to Overall Health: Barriers and Catalysts to a Holistic Menstrual Health Perspective
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
Menstrual health is a crucial indicator of overall well-being because of its overlap with physical, mental, and social factors. However, many individuals have a narrow view of menstrual health that overlooks these connections, leading to limited health awareness and stigmatization. Through semi-structured interviews with 50 individuals across diverse menstrual experiences, we explore how menstrual health perspectives expand or contract over time as a result of encountering various digital and non-digital resources. We identify themes such as an overemphasis on topics like reproductive anatomy and hygiene, insufficient support for personal relevance, and a timing gap between people’s motivation to learn and the availability of content. Our findings stress the need for integrated educational curricula that cover diverse menstrual health experiences and the potential for digital innovations that increase access to such material to support continuous learning.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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