South Fraser Perimeter Road: Approaches to Creating Land-use Compatibility
Bibliographic record
Abstract
The South Fraser Perimeter Road (SFPR) is a four-lane, 40 kilometre route travelling along the south side of the Fraser River extending from Deltaport Way (Corporation of Delta) to 176th Street and 104th Avenue (City of Surrey). Advanced by the BC Ministry of Transportation and Infrastructure (MOTI) with approximately $365 million of federal (Transport Canada) support, the SFPR was constructed in response to growing regional congestion in the Lower Mainland and to improve the movement of people, goods. Environmental assessment of the Project was completed in 2008 with full operation of the road commencing in December, 2013. Given existing levels of development in Greater Vancouver, the development of the highway required that the alignment be located directly adjacent to Burns Bog - a 3,000 ha peat bog located within the community of Delta. Burns Bog is one of Canada’s largest undeveloped land masses within an urban area and supports distinctive bog vegetation communities and recognized rare and endangered plant and wildlife species (Figure 1). Due to its ecological importance, large areas of Burns Bog are protected within a land conservancy and the area is valued by a large and diverse group of community interests. Given land constraints in the highway corridor, the ecological importance of the Bog and the high level of community interest in the area, development of the SFPR required significant effort in order to reconcile the potentially competing interests of highway construction/operation and conservation of a valued and highly sensitive ecosystem. Reconciling these interests was supported by collaboration between highway design and engineering specialists and experts in bog ecological and conservation. While the process for reconciling operation of a highway and conservation of a protected area took time, the outcomes include new information for understanding the complex ecology of the Bog and improved tools for active management of hydrology to achieve restoration outcomes. These tools, which facilitated environmentally sensitive development adjacent to Burns Bog, also represent an important investment in the effort to protect Burns Bog over the long term and restore areas impacted by past development.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.007 |
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".