<i>One Night Stan:</i> Feasibility Study of an HIV Prevention and Sexual Risk Reduction Social Card Game for Young Black Women
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
OBJECTIVE: To develop and test the feasibility and preliminary impact of the social card game prototype, One Night Stan, a theory-driven and evidence-based human immunodeficiency virus (HIV) prevention intervention for young black women. MATERIALS AND METHODS: The study included the enrollment of 21 young, heterosexual black women (mean age 19) to test the feasibility and preliminary impact of the card game, using a pre/postdesign. Participant satisfaction and gameplay experience were assessed using quantitative and qualitative measures. Knowledge, self-efficacy, and intentions regarding condom use and HIV/sexually transmitted infection partner testing were assessed using standardized assessments. Effect sizes for the change in these outcome variables were calculated to determine the preliminary efficacy of the game. RESULTS: One hundred percent of participants reported that that they would play the game again, 95% liked the way the game looked, 100% enjoyed playing the game, and 100% reported that they would tell their friends to play. Effect sizes were large (ranged from 0.21 to 0.51) for all variables except perceived susceptibility (0.07) and suggest that playing the game can lead to increased self-efficacy and intentions to use condoms and insist that their partners get tested for HIV across time. CONCLUSIONS: One Night Stan is a feasible intervention approach and may be efficacious in helping players develop a pattern of cognitions and motivation that can protect them against the risk of HIV.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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