Reinventing Urban Waterfronts Beyond the Urban Core: Public Space and Redevelopment in Squamish and the Vancouver Region
Bibliographic record
Abstract
Urban waterfront research has concentrated primarily on the redevelopment of the core areas of major portcities; yet just as cargo handling activities have extended from their traditional core urban port locations into themetropolitan hinterland, urban waterfront redevelopments have spread into smaller and suburban communities.Both processes have occurred without much scholarly attention. In this paper, we trace the implications ofwaterfront redevelopment processes in smaller suburban communities beyond the urban core. We show howsuburban waterfront developments tend to ignore local cultural histories and communities while threateningthe values of diversity that might be embraced in all public spaces, regardless of location.To accomplish this, we provide a case study of waterfront redevelopment and public space formation inthe town of Squamish, British Columbia, in comparison to other suburban waterfront redevelopments aroundthe metropolis of Vancouver. Typically, these redevelopments are in communities that used to host signifi cantindustrial operations and are now trying to “reinvent” themselves. We identify the limited publics celebratedby, and the constrained forms of publicness created through, contemporary suburban waterfront planningpractices. We also pay specifi c attention to the changing planning discourses that strongly infl uence the designand marketing of contemporary suburban waterfront communities.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".