Regional planning - traditional vs contemporary concepts: The case study of Vancouver region
Bibliographic record
Abstract
Regional planning is exposed to various criticisms today due to its unclear position in the federal planning system, as well as incoherent methodology among other inconsistencies. Nonetheless, despite those critics, the importance and role of regional plans and/or strategies is indisputable, primarily in creating a base for directing development processes. Nowadays, regional planning is going through significant methodological changes as a reflection of overall changes in the planning doctrine, new geopolitical circumstances, and the effect of the "acceleration" of time. The modified perception of space as a global and dynamic environment, and the intensive application of advanced technologies in the planning process, cause the need for refitted methods and techniques in regional planning. Those updates will revive regional planning and make the decision-making process more transparent. This paper will focus on new technologies that are in application in some countries with advanced regional planning. The province of British Columbia in Canada is one of those countries. The regional district of Vancouver will be used to analyze the differences between traditional and contemporary concepts in regional planning through the application of advanced models in policy making.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".