Evaluating the Effectiveness of Ontario’s 2005 Greenbelt Plan at Preserving the Protected Countryside from Urbanization and Non-Renewable Resource Mining
Bibliographic record
Abstract
Conservation has been widely discussed as the best way to combat climate change and environmental degradation. A cornerstone of conservation is Sustainable Development, which involves mitigating the damage of urbanization and urban sprawl, and the resulting loss of agricultural resources. In response, Ontario developed the Greenbelt Act in 2005 to ensure that Ontario’s Agricultural Land base was protected from urbanization and development. This study analyzed land use change within the Greenbelt’s Protected Countryside, to determine if the lands were protected during the implementation of the Greenbelt Plan (2005 -2017), and the ten years prior without Greenbelt policy in effect. Using remote sensing change detection applications, it was determined that residential expansion within settlement areas, and aggregate mining operations within the Protected Countryside contribute to urban expansion and loss of prime agricultural land. Changes in aggregate resource extraction policy are recommended to reduce the use and reliance of virgin aggregate in Ontario.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".