Fighting TB stigma: we need to apply lessons learnt from HIV activism
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
### Summary box In 2015, 10.4 million people were diagnosed with tuberculosis (TB)1 and 2.1 million people tested positive for HIV.2 Over two-thirds of new TB and HIV infections are in lower income and middle-income countries in sub-Saharan Africa and Asia. Together, TB and HIV cause over 2.5 million deaths each year,1 2 and immeasurable social calamities. Key among these is widespread stigmatisation incited by their deep-set association with poverty, social marginalisation, risk of transmission and death, and perpetuated to varying degrees by subversive policies and practices.3 4 The stigma is doubly worse for the 1.2 million people world over who live with both …
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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