Sexual and reproductive health and rights in humanitarian settings: a matter of life and death
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
It is estimated that approximately 4.3 million sexually active persons worldwide will receive poor and/or limited access to Sexual and Reproductive Health (SRH) services in their lifetime. Globally, approximately 200 million women and girls still endure female genital cutting, 33,000 child marriages occur daily, and a myriad of Sexual and Reproductive Health and Rights (SRHR) agenda gaps continue to remain unaddressed. These gaps are particularly pertinent for women and girls in humanitarian settings where SRH conditions including gender-based violence, unsafe abortions, and poor obstetric care are among the leading causes of female morbidity and mortality. Notably, the past decade has featured a record high number of forcibly displaced persons globally since World War II and has led to over 160 million persons requiring humanitarian aid globally, 32 million of whom are women and girls of reproductive age. Inadequate SRH service delivery continues to persist in humanitarian settings, with basic services insufficient or inaccessible, putting women and girls at higher risk for increased morbidity and mortality. This record number of displaced persons and the continued gaps that remain unaddressed pertaining to SRH in humanitarian settings require renewed urgency to create upstream solutions to this complex issue. This commentary discusses the gaps in the holistic management of SRH in humanitarian settings, explores why these gaps persist, and addresses the unique cultural, environmental, and political conditions which contribute to continued SRH service delivery inadequacies and increased morbidity and mortality for women and girls.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.002 |
| 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