Enhancing Students HIV/AIDS Prevention Skills through a Graphic Novel
Bibliographic record
Abstract
South Carolina (SC) ranks 6th in the United States for new HIV cases (South Carolina Department of Health and Environmental Control, DHEC, 2011). To reduce this troubling trend, education and prevention efforts are needed to raise young adults’ awareness of HIV/AIDS issues. Existing prevention information is rarely in a format that appeals to youth. Visuals in graphic novels can motivate students to read, and can aid in their understanding of text (see Carter, 2007, and Gavigan, 2011, for example). To meet this need, the researchers and a graphic illustrator, working with students in the SC Department of Juvenile Justice School District, developed an age-appropriate, culturally diverse graphic novel on HIV/AIDS, entitled, AIDS in the End Zone. It was tested with young adults in SC public libraries in 2013 using pre- and post- surveys to measure knowledge gains from reading the graphic novel. Preliminary results of the surveys will be discussed and focus group data will be presented. Ways in which the project could be replicated in other libraries and classrooms will also be discussed.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".