Neighbourhood-Scale Coastal Adaptation with Green Shores: Challenges and Opportunities
Bibliographic record
Abstract
Coastal processes function on a larger scale than most individual properties can appropriately accommodate. Property frontages typically range on the order of 10s of meters, whereas coastal processes (such as sediment transport) often span 100s of meters or more. These scales pose a challenge for implementing natural and nature-based approaches on many individual properties. Neighbourhood-scale designs have the potential to avoid the site limitations posed by individual properties as well as distribute costs and benefits across a broader community. However, there are few examples of neighbourhood-scale projects being implemented within the Salish Sea to date. Northwest Hydraulic Consultants (NHC) – on behalf of the Stewardship Centre for British Columbia (SCBC) and in collaboration with the Town of Qualicum Beach and the Comox Valley Regional District – developed three neighbourhood-scale coastal adaptation concepts that incorporate Green Shores® for Homes principles and guidance. As part of the project, three conceptual designs were developed for two sites on the east coast of Vancouver Island. A marsh terrace concept was developed to replace an existing hard revetment, and a vegetated backshore nourishment was designed to adapt to sea level rise for two sections of shoreline at a site in Royston, BC. A gravel beach and headland concept was also developed to re-naturalize a long section of existing hardened shoreline in Qualicum Beach, BC. This presentation will introduce the project goals, the project sites, design concepts and anticipated costs, compliance with Green Shores® for Homes guidance, as well as relevant local, provincial, and federal regulatory agency requirements. Challenges and opportunities for future implementation (such as permitting requirements and cost-sharing) will be highlighted.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".