Preface to the Second Edition
Bibliographic record
Abstract
In just over a decade and a half, the twenty-first century is revealing a regional landscape with significant and substantial differences from its immediate past.This new edition of Planning Canadian Regions addresses the emerging perspective of increasing spatial complexity between cities and their regions and between different regions, and the impact of this spatial complexity on regional planning practice.The perennial development inequities faced by peripheral resource regions are given special attention, as are the growing demands of planning for climate change and the need for planners to respond to uneven growth in regions large and small.Throughout, the need to accommodate the rights and cultures of Aboriginal peoples in the planning of regions across the country is emphasized.For these tasks, this edition draws upon the extensive Canadian literature on regional planning as well as relevant international literature.Contemporary examples of regional planning practice from across Canada are highlighted, from Québec Nord to the Regional District of North Okanagan in British Columbia, the Greater Golden Horseshoe in south-central Ontario, and the North Baffin Region in Nunavut.Modes of practice are described and analyzed, with the help of relevant data and illustrations.The main text has been supplemented by three learning resources: (1) Guiding Questions at the beginning of each chapter encourage readers to explore the content in greater depth; (2) Inter net Resources are included in each chapter; and (3) Planning Practice Pointers suggest useful approaches that a planner might apply in practice.In this second edition, Planning Canadian Regions again challenges regional planners, planning educators, and policymakers to engage with the latest thinking on the interlocking issues confronting the planning of Canada's regions in the twenty-first century, and to strive for best practices.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.418 | 0.215 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".