Spiking the Line: A Megaregional Growth Plan for the Windsor/Quebec Corridor
Bibliographic record
Abstract
In a truly global context, the contemporary urban landscape is changing dramatically. The megaregion has emerged as the primary scale of economic development and the home of the world’s wealth, innovation and progress. Increasingly expensive and scarce land, as well as the protection and preservation of farmlands and habitats, are driving up density. A renewed emphasis on environmental sustainability means not just greener building treatments and improved fuel efficiencies, but a need to redirect infrastructural investments in far more efficient ways. \n \nIf, as the Regional Plan Association asserts, megaregions have replaced metropolitan regions and cities as the geographic units of the global economy, they must be planned, structured and supplied to maximize their potential as such. This thesis proposes a regional plan for the Windsor/Quebec corridor that attempts to satisfy any qualitative aspirations of the current “Places to Grow” plan for the Greater Golden Horseshoe while strategically repositioning growth in the region to be more globally competitive and sustainable. \n \nThis proposal utilizes two very specific existing elements in expanded roles; the 400 series highways as an infrastructural distribution network, and the regional shopping mall as a strategic site for discreet, distributed urban cores. Together, these two elements form a conceptual city at the megaregional scale; a concentrated, sprawl-free, efficient and sustainable form of city-making that also integrates seamlessly into the existing urban morphology.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".