‘HIV made me fabulous’: a qualitative analysis of embodied storytelling in film to address stigma, further understandings of U=U and advance gender equity
Bibliographic record
Abstract
BACKGROUND: Even with the Undetectable equals Untransmittable campaign (U=U) campaign, women living with HIV continue to experience intersecting forms of stigma. We explored how the somatic experiences of viewing a film about U=U and women could help individuals gain deeper understandings of HIV and alter learned prejudices. METHODS: HIV Made Me Fabulous is a film that utilises embodied storytelling to tell the story of a trans woman living through social and historical traumas of HIV. Four online film screenings and focus group discussions took place between June 2020 and June 2021, with participants attending from Canada, Australia, South Africa, Kenya, Zimbabwe and India. Two sessions were held with women living with HIV (n =16) and two with HIV-negative individuals (n =12). Transcripts were analysed via thematic analysis using Lafrenière and Cox's framework to assess its impact. RESULTS: Participants experienced strong, diverse emotional responses and sometimes physical effects from viewing the film. These somatic experiences furthered engagement with key messages in the film, including U=U, intersectional identities, and impacts of patriarchal systems. Women living with HIV commented on unique gendered risks experienced during disclosure, and the pressures of reaching an undetectable viral load. Women also commented how the film resulted in deeper reflection of their deservingness of pleasure. Regardless of HIV status, participants expressed motivation towards influencing change that included addressing biases and sharing U=U with others. CONCLUSIONS: Embodied storytelling in film is an effective method to counter both intra- and inter-personal HIV-related stigma by provoking responses that enhance compassion for oneself and others.
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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 | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".