Future-oriented Codesign Workshops as a Method of Empowering Citizens in Urban Infrastructure Development: A Capabilitarian Analysis
Bibliographic record
Abstract
Urban mobility infrastructures have a major impact on the everyday life of city residents. Not only their mobility, but also their health, enjoyment of life and development of lifestyle preferences are affected by them. However, inclusive participation in infrastructure planning processes is difficult to achieve. We explore a foresight approach that develops desirable urban visions that involve residents in the preparation of decisions that will impact their lives. We propose future-oriented co-design workshops for the operationalisation of a capabilitarian focus on conscientisation, conciliation and collaboration to involve citizens in the visioning of infrastructure planning. The study is based on future-oriented codesign workshops held in Montreal in 2022–2023. Residents were invited to evaluate and discuss various future scenarios that re-imagine a highway currently cutting through the city. The results show the capabilitarian co-design workshops to promote critical thinking, vision creation and to a lesser extent collaboration in the discussions triggered by the future-oriented codesign workshops. The results also reveal the difficulties of making such discussions truly inclusive, as well as their ambivalent relation to urban planning processes.
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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 | 0.020 | 0.019 |
| 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 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.006 |
| 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".