Co-producing Psychiatric Education with Service User Educators: a Collective Autobiographical Case Study of the Meaning, Ethics, and Importance of Payment
Bibliographic record
Abstract
OBJECTIVE: Co-production involves service providers and service users collaborating to design and deliver services together and is gaining attention as a means to improve provision of care. Aiming to extend this model to an educational context, the authors assembled a diverse group to develop co-produced education for psychiatry residents and medical students at the University of Toronto over several years. The authors describe the dynamics involved in co-producing psychiatric education as experienced in their work. METHODS: A collaborative autobiographical case study approach provides a snapshot of the collective experiences of working to write a manuscript about paying service users for their contributions to co-produced education. Data were collected from two in-person meetings, personal communications, emails, and online comments to capture the fullest possible range of perspectives from the group about payment. RESULTS: The juxtaposition of the vision for an inclusive process against the budgetary constraints that the authors faced led them to reflect deeply on the many meanings of paying service user educators for their contributions to academic initiatives. These reflections revealed that payment had implications at personal, organizational, and social levels. CONCLUSION: Paying mental health service user educators for their contributions is an ethical imperative for the authors. However, unless payment is accompanied by other forms of demonstrating respect, it aligns with organizational structures and practices, and it is connected to a larger goal of achieving social justice, the role of service users as legitimate knowers and educators and ultimately their impact on learners will be limited.
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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 | 0.016 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.038 | 0.029 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 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".