Where The Sidewalk Ends: The Governance Of Waterfront Toronto’s Sidewalk Labs Deal
Why this work is in the frame
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Bibliographic record
Abstract
In May 2020 Sidewalk Labs, the Google-affiliated ‘urban innovation’ company, announced that it was abandoning its ambition to build a ‘smart city’ on Toronto’s waterfront and thus ending its three-year relationship with Waterfront Toronto. This is thus a good time to look back and examine the whole process, with a view to drawing lessons both for the future of Canadian smart city projects and the future of public sector agencies with appointed boards. This article leaves to one side the gadgets and sensors that drew much attention to the proposed project, and instead focuses on the governance aspects, especially the role of the public ‘partner’ in the contemplated public-private partnership. We find that the multi-government agency, Waterfront Toronto, had transparency and accountability deficiencies, and failed to consistently defend the public interest from the beginning (the Request for Proposals issued in May of 2017). Because the public partner in the proposed ‘deal’ was not, as is usually the case in smart city projects, a municipal corporation, our research allows us to address an important question in administrative law, namely: what powers should administrative bodies outside of government have in crafting smart city policies?
 In Canada, the comparatively limited Canadian scholarly work regarding urban law and governance has mainly focused on municipal governments themselves, and this scholarly void has contributed to the fact that the public is largely unaware of the numerous local bodies that oversee local matters beyond municipal governments. This paper hones into the details of the WT-Sidewalk Labs partnership to understand the powers and limitations of WT in assuming a governmental role in establishing and overseeing ‘smart city’ relationships. It ultimately argues that WT has not been – nor should it be – empowered to create a smart city along Toronto’s post-industrial waterfront. Such tasks, we argue, belong to democratic bodies like municipalities. An important contribution of this paper is to situate the evolving role of public authorities in the local governance literature and in the context of administrative law.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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