Associations between climate change-related factors and sexual health: A scoping review
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
There is growing attention to the ways in which climate change may affect sexual health, yet key knowledge gaps remain across global contexts and climate issues. In response, we conducted a scoping review to examine the literature on associations between climate change and sexual health. We searched five databases (May 2021, September 2022). We reviewed 3,183 non-duplicate records for inclusion; n = 83 articles met inclusion criteria. Of these articles, n = 30 focused on HIV and other STIs, n = 52 focused on sexual and gender-based violence (GBV), and n = 1 focused on comprehensive sexuality education. Thematic analysis revealed that hurricanes, drought, temperature variation, flooding, and storms may influence HIV outcomes among people with HIV by constraining access to antiretroviral treatment and worsening mental health. Climate change was associated with HIV/STI testing barriers and worsened economic conditions that elevated HIV exposure (e.g. transactional sex). Findings varied regarding associations between GBV with storms and drought, yet most studies examining flooding, extreme temperatures, and bushfires reported positive associations with GBV. Future climate change research can examine understudied sexual health domains and a range of climate-related issues (e.g. heat waves, deforestation) for their relevance to sexual health. Climate-resilient sexual health approaches can integrate extreme weather events into programming.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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