Advancing a collective vision for equity‐based cocreation through prototyping at an international forum
Bibliographic record
Abstract
BACKGROUND: Cocreation has the potential to engage people with lived and living experiences in the design and evaluation of health and social services. However, guidance is needed to better include people from equity-deserving groups (EDGs), who are more likely to face barriers to participation, experience ongoing or historical harm, and benefit from accessible methods of engagement. OBJECTIVE: The aim of this international forum (CoPro2022) was to advance a collective vision for equity-based cocreation. DESIGN: A participatory process of engagement in experiential colearning and arts-based creative and reflective dialogue. Visual prototypes were created and synthesised to generate a collective vision for inclusive equity-based cocreation. SETTING AND PARTICIPANTS: The Forum was held at the Gathering Place by the Grand River in Ohsweken, Ontario, Canada. A total of 48 participants attended the forum. They were purposely invited and have intersecting positionalities (21 academic experts, six experience experts, 10 trainees, and 11 members of EDGs) from nine countries (Bangladesh, Botswana, Canada, England, Italy, Norway, Scotland, Singapore, Sweden). COPRO2022 ACTIVITIES: CoPro2022 was an immersive experience hosted on Indigenous land that encouraged continuous participant reflection on their own worldviews and those of others as participants openly discussed the challenges and opportunities with engaging EDGs in cocreation activities. Visual prototypes and descriptions created in small groups were informed by participants' reflections on the panel presentations at the Forum and their own experiences with equity-based cocreation. Following the event, the authorship team inductively coded themes from the prototype descriptions and met to discuss the cross-cutting themes. These informed the design of an illustrated collective vision for Equity Based Co-Creation (EqCC). RESULTS: Six prototypes were cocreated by each small group to illustrate their vision for EqCC. Within these, four cross-cutting themes were identified: (i) go to where people are, (ii) nurture relationships and creativity, (iii) reflect, replenish and grow, (iv) and promote thriving and transformation. These four themes are captured in the Collective EqCC Vision to guide a new era of inclusive excellence in cocreation activities. PATIENT OR PUBLIC CONTRIBUTION: Service users, caregivers, and people with lived experience were involved in leading the design of the CoPro2022 and co-led the event. This included activities at the event such as presenting, facilitating small and large group discussion, leading art-based activities, and reflecting with the team on the lessons learned. People with lived experience were involved in the analysis and knowledge sharing from this event. Several members of the research team (students and researchers) also identified as members of EDGs and were invited to draw from their personal and academic knowledge.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".