Toronto’s Port Lands: Climate Change and a Transition in the Nature/Culture Relationship
Bibliographic record
Abstract
On Toronto’s east-central waterfront, the Port Lands project is transforming an area that used to be considered one of the most underused parts of the city. The project aims to protect the surrounding areas from the Don River floodplain by rerouting the river and renaturalizing the landscape that surrounds it. The Port Lands project is heavily shaped by the anticipated pressures that climate change will place on the cities’ infrastructure and ecological systems. Understanding the Port Lands within the framework of a historical trajectory of land use, from industry to vacancy, then vacancy to now a utopian vision of a ‘green’ future community illustrates how transformations in the ideologies of nature are being transcribed onto the cityscape. The main objective of this study is to investigate whether climate change is enacting transformations to the ways in which we see the nature/culture relationship. Through an analysis of the historical context, the policy contexts, and the larger dynamics at play in the Port Lands, this study shows how constructed ideas of nature and landscape are shifting to incorporate climate change strategies and accommodate urban natures. The Port Lands project, both as a physical change in the landscape as well as in its Planning Framework as a projection of an idealized future, exemplifies a transition in the ideology of nature which is being catalyzed by climate change.
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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 | 0.001 |
| 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".