Relative Versus Absolute Standards for Everyday Risk in Adolescent HIV Prevention Trials: Expanding the Debate
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
Biomedical and behavioral research may affect strongly held social values and thereby create significant controversy over whether such research should be permitted in the first place. Institutional review boards (IRBs) responsible for protecting the rights and welfare of participants in research are sometimes faced with review of protocols that have significant implications for social policy and the potential for negative social consequences. Although IRB members often raise concerns about potential long-term social implications in protocol review, federal regulations strongly discourage IRBs from considering them in their decisions. Yet IRBs often do consider the social implications of research protocols and sometimes create significant delays in initiating or even prevent such research. The social implications of research are important topics for public scrutiny and professional discussion. This article examines the reasons that the federal regulations preclude IRBs from assessing the social risks of research, and examines alternative approaches that have been used with varying success by national advisory groups to provide such guidance. The article concludes with recommendations for characteristics of a national advisory group that could successfully fulfill this need, including sustainability, independence, diverse and relevant expertise, and public transparency.
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 | 0.076 | 0.081 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| 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