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Record W6999946405

Earthquake risk communication in the capital regional district : a public awareness assessment

2022· dissertation· en· W6999946405 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSkemman · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsnot available
Fundersnot available
KeywordsPreparednessSeismic riskCapital cityPublic policyCapital (architecture)Risk assessmentDisaster preparedness
DOInot available

Abstract

fetched live from OpenAlex

Oral histories corroborate modern seismological predictions that Vancouver Island and the Pacific Northwest are overdue for a major earthquake, expected to be up to a 9.0 on the Richter scale. Our collective understanding of earthquakes and the risks associated with them have evolved dramatically since the implementation of Canada’s first seismic design provisions in 1941. The Capital Regional District has yet to experience a damaging earthquake in living memory, but research strongly suggests that a large, >7.0 earthquake along the Cascadia fault line is likely in the coming decades. This project used a survey alongside anonymous interviews with key stakeholders to:
\n1.\tgauge and enhance public awareness of earthquake risk and response plans
\n2.\tidentify areas where disaster preparedness policies may not be achieving their goals
\n3.\tdevelop policy recommendations based on project results and internationally analogous communities
\nSurvey and interview results show that while some of the existing awareness programs are effective, most residents in the CRD remain unprepared for a damaging earthquake event. Results of this study show that existing earthquake risk communication seemingly fails to properly impress the severity of risk on residents within the Capital Regional District. Policy recommendations do not align with individual preparedness levels within the community – potentially leading to a dangerous situation should an earthquake strike.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.035
GPT teacher head0.354
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it