“We are all just humans participating”: the role of an embodied approach, virtual space and artistic media in shaping participants’ experience in a co–design process
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
Integrating multiple perspectives is key to successful co-design, yet often hampered by communication gaps arising from different epistemological backgrounds and lived experiences. This challenge is amplified when the design problem centres around experiences that are difficult articulate in words, such as those in Parkinson’s disease (PD). To explore alternative strategies for communication between diverse PD stakeholders, Piece of Mind brought together neuroscientists, performing artists and individuals with lived experience to co-create an interdisciplinary performance grounded in scientific and experiential knowledge. Participants met on Zoom over nine months, in which creative, embodied approaches were used to share scientific concepts, facilitate discussion, and identify key issues for the performance. We built on emergent themes through virtual and in-studio collaborations, culminating in a 45-min filmed and live performance. We conducted semi-structured interviews with a subset of participants regarding their co-design experience and take-aways, to identify elements of process, space and materials contributing to its success. We found that an embodied approach, in virtual space and incorporating multiple artistic media, enabled participants to leave their comfort zones and disciplinary boundaries to engage with one another through curiosity and generosity – and consider how these conditions facilitated disparate starting points to converge towards a common goal.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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