HIV’s Trajectory: Biomedical Triumph, Structural Failure
Bibliographic record
Abstract
AffiliationsLeo Beletsky is with the School of Law, Bouvé College of Health Sciences, and Health in Justice Action Lab, Northeastern University, Boston, MA, and the Division of Infectious Disease and Global Public Health, University of California San Diego School of Medicine, La Jolla, CA. Meaghan Thumath is with the School of Nursing, Faculty of Applied Science, University of British Columbia, Vancouver, BC, and the Centre for Evidence Based Intervention, Department of Social Policy and Intervention, University of Oxford, Oxford, UK. Danielle F. Haley is with School of Public Health, Boston University, Boston, MA. Gregg Gonsalves is with Yale School of Public Health, New Haven, CT. Ayana Jordan is with the Yale University School of Medicine, New Haven, CT.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.055 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.020 | 0.023 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".