The Effects and Implications of Urbanization on the Environmental Integrity of the Oak Ridges Moraine in Ontario, Canada
Bibliographic record
Abstract
A significant geological feature in Ontario, the Oak Ridges Moraine (ORM), is an environmentally vulnerable area under pressure from both urbanization and population growth. In 1995, the provincial government sought to expand highways and the sale of public land in these ecologically sensitive areas. Five years later, municipal drinking water was contaminated with E. coli in the nearby town Walkerton, and political motives regarding land use were questioned. This prompted the formation of several initiatives in 2001–2002, including the Oak Ridges Moraine Conservation Act (ORMCA), the Oak Ridges Moraine Foundation (ORMF), and the Oak Ridges Moraine Conservation Plan (ORMCP). This article examines both population growth and urbanization throughout the ORM since the 1980s, with a focus on the Oak Ridges Community (ORC) in the municipality of Richmond Hill. Specifically, steady population growth has put pressure on sensitive geological features such as aquifers, which are the source of drinking water in the community. Further analysis of the ORC shows that urbanization has been minimally influenced by the initiatives of 2002. This article raises questions about land use in the ORC and thus the ORM as a whole.
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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 | 0.000 | 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 | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".