Mapping Community-Engaged Implementation Strategies with Transgender Scientists, Stakeholders, and Trans-Led Community Organizations
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
PURPOSE OF REVIEW: Pre-exposure prophylaxis (PrEP) represents one of the most effective methods of prevention for HIV, but remains inequitable, leaving many transgender and nonbinary (trans) individuals unable to benefit from this resource. Deploying community-engaged PrEP implementation strategies for trans populations will be crucial for ending the HIV epidemic. RECENT FINDINGS: While most PrEP studies have progressed in addressing pertinent research questions about gender-affirming care and PrEP at the biomedical and clinical levels, research on how to best implement gender-affirming PrEP systems at the social, community, and structural levels remains outstanding. The science of community-engaged implementation to build gender-affirming PrEP systems must be more fully developed. Most published PrEP studies with trans people report on outcomes rather than processes, leaving out important lessons learned about how to design, integrate, and implement PrEP in tandem with gender-affirming care. The expertise of trans scientists, stakeholders, and trans-led community organizations is essential to building gender-affirming PrEP systems.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 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