Risk Adaptation in Post-Wildfire Building Practices: Trends in Canadian Wildland-Urban Interface Communities
Bibliographic record
Abstract
This study integrates spatial analysis and municipal building permit data to evaluate structural exposure within British Columbia’s Wildland-Urban Interface (WUI), and assess post-wildfire rebuilding trends following the McDougall Creek (2023) and Lytton (2021) wildfires. Using GIS-based overlays of building footprints, fire perimeters (1917-2024), and WUI boundaries, this research quantifies the number of structures at risk and their historical exposure to wildfires. Additionally, municipal permit datasets are analyzed to determine whether rebuilding efforts have integrated risk-adaptive strategies. Findings indicate that 98% of all structures in BC fall within a 1 km WUI buffer, with 12% located in historically burned areas. Post-fire reconstruction analysis reveals extensive in-situ rebuilding with minimal relocation efforts, raising concerns regarding long-term wildfire resilience. Current building regulations lack wildfire-specific mandates, while insurance-driven incentives are emerging as the primary mechanism encouraging fire-resistant construction. These findings highlight the urgent need for enhanced WUI zoning policies, fire-resistant nationally regulated codes and construction standards, and strategic land-use planning to mitigate future wildfire risks.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".