“One-by-One, TB Took Everything Away From Me”: A Photovoice Exploration of Stigma in Women with Drug-Resistant Tuberculosis in Mumbai
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
Stigma related to drug-resistant tuberculosis (DR-TB), one of the world's most severe infectious diseases, is a major barrier to TB elimination particularly for women living in settings of gender inequity. Drawing on the participatory action research (PAR) framework of photovoice, we explored lived experiences of DR-TB stigma among nine affected women in Mumbai, India. Consenting women took, shared, and contributed to the critical interpretation of 37 non-identifying images and associated narratives with one another and with PAR researchers. The study surfaced vivid, untold stories of trauma and life-altering encounters with enacted, anticipated, and internal stigma, that were characterized by loss (of self, voice, status, mobility), abuse (mental, social) and deep internal distress (shame, isolation, suffocation, peril). The study also revealed how stigmatized women found means to build resilience and resist the impacts of stigma. We further witnessed the building of their collective resilience through study participation. Photovoice proved to be a uniquely compelling method of data capture and interpretation, with potential to develop meaningful engagement and solidarity among women affected by DR-TB.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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