Wildfire Evacuation Insights from GPS Data: Contrasting Tantallon and Jasper, Canada
Bibliographic record
Abstract
Abstract. Wildfires pose significant threats to communities, and understanding evacuation dynamics is critical for improving emergency preparedness. GPS data offer a reliable and scalable tool for analyzing evacuation, with insights into spatial patterns, route preferences, and regional differences. This study examines GPS records during the wildfires in Upper Tantallon, Nova Scotia (2023), and Jasper, Alberta (2024) and explores evacuation patterns and road usage. The analysis focuses on key highways and towns impacted by the wildfires, highlighting evacuation timelines and the distance traveled. In Upper Tantallon, a significant decline in GPS device activity was observed, reflecting a reduction in population. In contrast, Jasper showed a highly erratic GPS device activity and the evacuees also traveled longer distances on average. The research underscores the differences in wildfire evacuation behavior between the two regions.
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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 | 0.001 |
| 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".