Innovating for Uncertain Futures: How Transportation Planners in Toronto Adapt Planning and Institutional Processes in Anticipation of Automated Vehicles
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
Despite more than a decade of automated vehicle trials on public roads, the anticipated driverless revolution has yet to materialise. Nevertheless, cities have been urged to manage the transition. This article examines the merits of proactive planning, analysing automated vehicle initiatives in Toronto. Employing a framework for social innovation in planning practice, I demonstrate how, over a ten-year period, municipal planners gradually introduced organizational and practice-based changes. Proactive efforts have strengthened institutional responsiveness and directed the private sector-driven transition towards local needs. While transformative change has been restrained, foundations are laid for a purposeful shift towards new logics of action.
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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 | 0.001 |
| 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 | 0.000 | 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 it