The value of self-care during climate-related extreme weather events (EWE) to support sexual and reproductive health and rights
Bibliographic record
Abstract
Climate-related extreme weather events (EWE) affect sexual and reproductive health and rights (SRHR) outcomes through complex and multi-level pathways. These include institutional-level effects on health systems, such as damaged health infrastructure and roads, barriers to retaining qualified health and care workers, as well as healthcare access barriers due to increased economic precarity, displacement and migration. Furthermore, EWE effects on SRHR disproportionately affect marginalised communities. Optimising SRHR in the context of climate change and EWE thus require moving beyond traditional health system approaches. Self-care interventions (e.g. HIV self-tests) and self-care actions (e.g. self-monitoring blood glucose during pregnancy), whereby affected individuals and communities have increased control and agency over their own health practices, can ensure essential SRHR needs can be maintained during crises. Yet opportunities for SRHR self-care strategies in communities affected by EWE are underexplored. When health systems collapsed during the COVID-19 pandemic in countries spanning income levels, self-care options were prioritised to maintain essential health services. In this commentary, we explore how SRHR self-care interventions and actions can be integrated into EWE emergency preparedness across dimensions of self-management, self-testing, and self-awareness to build individual, community and health systems climate resilience.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".