The role of transitional uses, temporary interventions & "ephemerality" in post-industrial waterfront spaces: lessons for Toronto's port lands.
Bibliographic record
Abstract
Post-industrial waterfronts are often characterized by a time-gap or a moment of standstill between the collapse of a previous use and the transition to a new and future use. However, conventional planning processes often leave these areas in a curious limbo while they are being prepared or while their futures are being determined. Changing contemporary conditions demand that planners re-evaluate urban planning and development approaches. Transitional uses and temporary interventions must be recognized as legitimate and important aspects of the planning process especially in these ephemeral landscapes as they provide an outlet for innovative and adaptive practices. This paper discusses three case studies. The cities of Melbourne, Amsterdam and Hamburg implemented unique and adaptive projects along their waterfronts as mechanisms to catalyze redevelopment and foster social engagement during indeterminate times. This paper explores these projects and applies the strategies used in each to Toronto’s vacant and extensively underutilized Port Lands.
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How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".