Assessing telecommunication vulnerabilities to wildfire in Alberta, Canada
Bibliographic record
Abstract
Wildfires can pose profound threats to public safety. During escalated wildfire situations, communication among responding agencies is critically important, as is communication with the affected public. Telecommunication vulnerabilities to wildfire have been largely ignored in fire risk assessment and human dimensions research. This study provides the first comprehensive assessment of telecommunications vulnerabilities to wildfire within a Canadian province. By integrating line-of-sight cellular coverage data with wildfire exposure metrics, we identified regions in Alberta's Forest Protection Area (FPA) at heightened risk due to limited access to reliable communications during emergencies. A directional vulnerability analysis highlighted the telecommunications infrastructure most at risk. Service demand areas (i.e., road and trail networks) prone to cellular coverage gaps were used to assess public safety implications. A patchwork of cellular coverage intersects 52 % of the Forest Protection Area, heavily influenced by population distribution and hindered by terrain. Over 20 % of the FPA land area was found to lack telecommunications coverage in conjunction with high fire exposure, posing significant challenges for public safety and wildfire management. Telecommunications towers were frequently identified as extremely vulnerable to wildfire (n = 186) and individual towers are vulnerable to hundreds of potential fire pathways, highlighting critical infrastructure at risk. Expansive areas along roadways and trail systems lack cell phone coverage in addition to being exposed to potential wildfire, posing a threat to public safety. These findings may inform future wildfire preparedness and mitigation plans, fuel reduction treatments, and telecommunications infrastructure improvements.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".