Designing as negotiating across logic multiplicity: The case of mental healthcare transformation toward co-design and co-production
Bibliographic record
Abstract
Designing within complex service systems implies navigating across a plurality of norms and beliefs that multiple stakeholder groups uphold, designers included. Transformational processes may be challenged by minimum, moderate or extensive conflict depending on the centrality or compatibility of competing logics. This article reflects on how the complexity inherent in higher level institutional orders of society can support or inhibit the potential and implementation of co-production in the public sector realm where designers operate. Using the context of public mental healthcare transformation as a backdrop, we identified and reflected on four predominant logics: the logic of state; the logic of market; the logic of profession; and the logic of community. We then developed a tool to support reflexivity – the Layers of Logics Map – that can be used to take “project logics snapshots” to represent the perceived strength of project stakeholder logics at the micro, meso and macro levels and their centrality and compatibility. Three co-design project examples were used to retrospectively test the Layers of Logics Map to reveal the role of competing logics in project challenges or triumphs. While we acknowledge that logics are often highly institutionalized and difficult to become aware of, we value as fundamental the creation of tools to better enable designers to consciously adopt adequate strategies to navigate this complexity.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
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 | 0.006 | 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 | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".