How stigma affects healthcare access for transgender sex workers
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
Stigmatisation of transgender sex workers (TSWs) has been recognised as contributing to illness and poorer health outcomes for this population. It could be argued that part of this stigma comes from nurses. With their frequent face-to-face interactions with their clients, nurses come from a unique place of power to influence the health outcomes and the feelings and thoughts that transgender sex workers have about the healthcare system in general, and whether or not they feel safe accessing it. Because there is very limited literature that explores stigmatisation of TSWs on the part of nurses, the needs of TSWs are scarcely being addressed. This article addresses why a higher proportion of transgender people participate in sex work compared with people in the general population; how stigmatisation by nurses affects access to healthcare resources for TSWs; why nurses experience stigmatising thoughts and beliefs; and how nurses can create a positive impact on TSW clients. The authors have found that, although there are a number of complex reasons for bias and stigma, it is extremely important for the health of these clients that nurses put empathy, sensitivity and compassion at the forefront of their practice.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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