Qualitative Comic Book Mapping: Developing Comic Books Informed by Lived Experiences of Refugee Youth to Advance Sexual and Gender-Based Violence Prevention and Stigma Reduction in a Humanitarian Setting in Uganda
Bibliographic record
Abstract
Sexual and gender-based violence (SGBV) is a persistent concern in humanitarian contexts, yet there is a dearth of SGBV prevention and post-rape clinical care interventions tailored for refugee youth. Graphic medicine, the use of images and text such as in comic books, has been employed to depict lived experiences to promote health, wellbeing, and education. Comic books provide a low-cost, youth-friendly approach to health promotion that is accessible to varying literacy levels. Limited research, however, has described the process of developing graphic medicine approaches for SGBV prevention and sexual violence stigma reduction with and for refugee youth in humanitarian settings. To address this knowledge gap, this paper shares a Qualitative Comic Book Mapping approach, whereby qualitative data alongside theoretical and empirical SGBV literature informed the development of comic book scenarios with refugee youth aged 16-24 in Bidi Bidi refugee settlement, Uganda. Steps included conducting focus groups and in-depth individual interviews with 78 community members (youth, elders, service providers) in Bidi Bidi to explore SGBV lived experiences among refugee youth in Bidi Bidi and ideas for solutions to reduce SGBV and related stigma, in addition to improving post-rape care experiences and engagement. The Qualitative Comic Book Mapping approach involved: a) thematic analysis of qualitative data and identification of overarching themes; b) aligning qualitative themes with theories of change for SGBV prevention and stigma reduction; and c) co-developing comic book scenarios with refugee youth peer navigators and community experts to integrate SGBV prevention and stigma reduction theory with refugee youth lived experiences. The final comic book involved five youth-focused scenarios and was integrated in an intervention with refugee youth, including providing youth with a blank version of the comic book to complete themselves. We share how theoretically-informed comic books can be developed from qualitative data with refugee youth in a humanitarian setting.
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How this classification was reachedexpand
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 | 0.011 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".