Towards a collective urban vision? An analysis of ‘rethink London’ official plan review using a collaborative planning framework
Bibliographic record
Abstract
The City of London, Ontario (Canada) launched Rethink London (2012–2014) as a community-focused initiative to engage diverse stakeholders in shaping the city’s long-term urban vision during its Official Plan review process. While Rethink London resulted in the adoption of The London Plan in 2016, there has been no systematic evaluation of the process through the lens of a collaborative planning framework. This paper evaluates how far Rethink London reflects collaborative planning principles, focusing on purpose and incentives, equal opportunity and resources, inclusive representation, and principled negotiation. Data were collected through semi-structured interviews with municipal officials, councillors, public engagement consultants and community leaders. While Rethink London grappled with conflicting interests, the process fostered broader stakeholder engagement through tailored participatory methods such as comment cards, workshop in a box and social media among others. The study highlights the importance of intentional process design to enhance engagement and equity in complex urban planning.
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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 | 0.091 | 0.167 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.015 | 0.020 |
| Scholarly communication | 0.022 | 0.013 |
| Open science | 0.004 | 0.018 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".