<Geographical Material>Analysis of Factors Influencing Earthquake Awareness and Preparation Levels Among Residents in the Portland Metropolitan Area, USA
Bibliographic record
Abstract
have estimated a 37% chance of a magnitude 8+ earthquake occurring along the Pacific Northwest's Cascadia Subduction Zone in the next 50 years.Despite the high probability of a large earthquake and tsunami severely affecting major west coast cities such as Seattle, Portland, and Vancouver, previous studies have concluded that residents in the area are insufficiently prepared.To that end, it is imperative that local residents increase their level of disaster preparedness.This research aims to determine the level of earthquake awareness and preparation among Portland Metropolitan Area residents, as well as analyze the factors that may have a significant influence on said levels.Over the course of 30 days, a 15-question questionnaire was distributed randomly to Portland Metropolitan Area residents through hard copies and digital copies.Follow-up email interviews were carried out for respondents and state government offices.Statistical cross-sectional analysis was conducted for each factor category compared to earthquake preparation.Among 101 respondents, the ratio of those who have made preparations versus those who have not was approximately half and half.Data analysis revealed minute differences between the majority of the factor categories with respect to the proportions of have and 'have not' made preparations, suggesting an insignificant influence on earthquake awareness and preparation.Alternatively, a 'sense of urgency' and the 'reasons for no preparation' may have a stronger influence over whether or not residents choose to prepare.Among the reasons why respondents have not prepared, the 'lack of concern' for the issue was most prevalent.Research results imply that information on disaster mitigation may not be circulating or reaching residents in the most effective manner.The results from this study may be considered to tailor future efforts to increase earthquake awareness and preparation among PMA residents.
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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 | 0.001 | 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 | 0.001 |
| 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".