Personas to Guide Understanding Traditions of Gay Men Living With HIV Who Smoke
Bibliographic record
Abstract
Gay men living with HIV (GMLWH) who smoke are less responsive to generalized smoking reduction and cessation (SRC) programs than heterosexual persons. This study explored perspectives of GMLWH during the design of a web-based SRC intervention. Participatory design techniques were used to guide the creation of personas that are composite representations of a person who would use the web-based SRC intervention. Researcher-participants (n = 13) created all data. Data analysis involved thematic coding drawing from an ethnographic perspective. Thematic analysis revealed seven intersecting themes related to SRC among participants, and an overarching theme navigating life. Concepts drawn from our ethnographic approach highlight cultural differences between GMLWH and mainstream society. Personas offer a mechanism for interpreting experiences and traditions of GMLWH. SRC interventions with GMLWH must address their social realities that include tools for navigating life, disease, and social identity.
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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 | 0.029 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".