Imagined Futures and Unintended Consequences: An Environmental History of Toronto's Don River Valley
Bibliographic record
Abstract
This dissertation explores human interactions with Toronto’s Don River Valley from the late eighteenth century to the present, focusing on the period of intense urbanization and industrialization between 1880 and 1940. Its concentration on the urban fringe generates new perspectives on the social and environmental consequences of urban development. From its position on the margins, the Don performed vital functions for the urban economy as a provider of raw materials and a sink for wastes. Insights derived from the intersections between social and environmental history are at the heart of this project. The dissertation begins by documenting the industrial history of the river and its transformation from a central provider in the lives of early Toronto residents to a polluted periphery in the latter half of the nineteenth century. An analysis of the valley’s related function as a repository for human “undesirables” reveals connections between the processes that identified certain individuals as deficient “others” and similar imperatives at work in classifying difficult or unpredictable environments as “waste spaces.” Efforts to “reclaim” and improve the river are the subject of the remaining chapters. A series of initiatives between 1870 and 1930 aimed at reconfiguring the lower Don as an efficient corridor for transportation and industrial development reveal in their shortcomings and unintended consequences a failure to accommodate dynamic and often unpredictable ecological processes. Reclamations of a different kind are explored in the conservation movement of the twentieth century, through which the valley emerges as a valuable public amenity. The dissertation concludes by investigating how the valley’s history informs current plans to “renaturalize” the river mouth. Throughout, the Don functions as an autonomous and causal force in the city’s history. On this small river on the urban fringe, nature and society worked in mutually constitutive ways to shape and reshape the metropolis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.027 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".