Computing and the Stigmatized: Trust, Surveillance, and Spatial Politics with the Sex Workers in Bangladesh
Bibliographic record
Abstract
The sex workers in the Global South represent a significant portion of the world sex industry. However, when compared to the relevant HCI literature on sex work and computing, there exists a noticeable gap in comprehending the experiences and circumstances of the sex workers in this region. This study fills the void by presenting the findings of a three-month-long ethnography with 25 legal sex workers in Daulatdia brothel, Bangladesh, revealing their struggles with stigma, low-tech literacy, and the emerging threats of online security, along with their skills and creativity to bypass those. Drawing on the previous literature on South Asian feminism, postcolonial computing, and critical urban studies, we demonstrate how these findings are deeply rooted in the country’s history and culture and propelled by a modernist vision of “development” that marginalizes such communities. Our discussion advances HCI’s discourse on sexuality, privacy, equity, and generates implications for design and policy changes.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.014 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".