Visual storytelling as democratizing knowledge: relational concepts of transdisciplinary health impact through film
Bibliographic record
Abstract
This paper examines the transdisciplinary collaboration between health practitioners, Indigenous community members, and doctoral researchers to democratize knowledge transfer enhancing social justice outcomes in the context of hepatitis C awareness with Indigenous communities in Alberta, Canada. Utilizing the impactful intersection between media and healthcare disciplines, two social science researchers built on each other's qualitative research projects using relational engagement and participatory action research to co-create a DocuStory film and accompanying impact campaign. Diverse expertise and varied life experiences contribute unique perspectives transferring insights informing knowledge translation. Communication scholars, media producers, and academics are exploring the social function of documentaries and how they can be used to generate change. This innovative collaboration draws on the strength and creativity of transdisciplinary relationships providing opportunity for social justice praxis at the intersections of culture, theory, health, and media. This successful approach is relevant for numerous health topics and inspires transdisciplinary collaboration and media innovation in health promotion.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 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".