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Record W2022201065 · doi:10.1002/met.198

Public perception of and response to severe weather warnings in Nova Scotia, Canada

2010· article· en· W2022201065 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMeteorological Applications · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsNova scotiaVulnerability (computing)Warning systemNova (rocket)Social vulnerabilityGeographyPerceptionSocial mediaPolitical sciencePsychologyComputer scienceAeronauticsEngineeringComputer securityPsychological interventionTelecommunications

Abstract

fetched live from OpenAlex

Abstract Hurricane Juan, which struck Atlantic Canada on 29 September, 2003, revealed the full extent of public vulnerability to severe weather events in Nova Scotia. In this study, 130 people were interviewed via a systematic sampling technique to examine their perception of severe weather warnings, and to determine what actions (if any) they are most likely to take when a warning has been posted. It was found that different target groups (e.g. the elderly, students) use different modes of media to obtain their severe weather information. It is recommended that forecast centres tailor their advisories for specific media sources so as best to reach various target groups. It was also found that respondents are generally satisfied with the weather warnings they receive, but there is a lack of awareness of the existence and extent of public vulnerability in Nova Scotia. The development of a comprehensive education campaign which will outline various facets of social vulnerability, while also offering recommendations on how best to lower existing social vulnerability, is critical. Copyright © 2010 Royal Meteorological Society

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.811

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.284
Teacher spread0.258 · 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