Making spaces: multimedia storytelling as reflexive, creative praxis
Bibliographic record
Abstract
In this article, we explore our experiences as researchers and participants in multimedia storytelling, an arts-informed method wherein we work with artists and aggrieved communities to speak back to dominant representations through film. In positioning ourselves as storytellers, we do research with rather than “on” or “for” participants, allowing us to connect in practical and affective ways as we co-create films. Drawing from dialogues about our workshop experiences, we outline four themes that make the storytelling space unique: reflexivity; structure and creativity; transitional space and reverberations; and fixing versus being/becoming with. We analyze our self-reflexive films on mind-body difference as “biomythographies,” as films that situate stories of ourselves in technological-temporal-spatial relations and that highlight how we make/experience change through creative research. Multimedia storytelling, we argue, allows us to enact reflexive creative praxis in a way that opens to difference rather than trying to fix it, forging an ethic we find all too rare in the neoliberal university.
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.019 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".