Employment land conversion and intensification corridors: exploring the role of municipal, regional and provincial policy in York Region
Bibliographic record
Abstract
<div>There seems to be an overall consensus in literature that industrial lands are not to be overlooked in the wake of conversion pressures to accommodate additional housing and other types of development. It is evident in literature that smart growth policies have tended to disregard the revitalization of industrial activities and this is problematic because a vital industrial presence is important in the dynamic of commercial and residential intensification.</div><div>This paper explores current legislation and policy applicable to employment lands located along intensification corridors in York Region, Ontario, Canada. This is completed with three different components: a literature and policy review; a review of regional comments on conversion requests; and a site-specific case study analysis of applicant justifications for conversions in intensification areas in York Region. Research findings include a robust industrial land intensification initiative in the Region, market demand along Regional Intensification Corridors, and the potential for the implementation of an area-specific plan in the Keele employment area in the City of Vaughan. Recommendations include policy directions and considerations for planning professionals.</div>
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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) | 0.000 | 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".