Children’s images of HIV/AIDS in Uganda: What visual methodologies can tell us about their knowledge and life circumstances
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
Abstract In this study we draw on three analytic frameworks (Goffman 1981. Forms of talk . Philadelphia, PA: University of Pennsylvania Press; Rose 2007. Visual methodologies: An introduction to the interpretation of visual materials . London: Sage; Warburton 1998. Cartoons and teachers: Mediated visual images as data. In John Prosser (ed.), Image-based research: A sourcebook for qualitative researchers , 252–262. London: Routledge) to explore how multilingual children in a rural Ugandan primary school use visual and linguistic modes to create billboards messages about HIV/AIDS. Although HIV/AIDS education is required curriculum in public schools, and outside of the classroom students are exposed to various national public service announcements (e. g., on radio and television, and as billboards), there are still considerable cultural barriers that hinder open discussions between children and their teachers and parents about HIV/AIDS-related issues. Our findings suggest that communicating the complex language of HIV/AIDS prevention requires students in this cultural context to go beyond the linguistic mode and draw upon the visual in order to achieve a fuller range of socio-affective expression, and conceivably, to affect change by reaching a variety of audiences on multiple levels of human meaning making. Implications for literacy educators in multilingual contexts, where pressing social issues intersect with culturally sensitive or otherwise “unspeakable” topics, indicate that the visual offers a less institutionalized and culturally-laden space for children to synthesize the messages in their environments and their own relationship to them.
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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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