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Record W2117162071 · doi:10.3763/ehaz.2009.0006

Comparison of homeowner response to wildfire risk among towns with and without wildfire management

2009· article· en· W2117162071 on OpenAlexafffundabout
Hilary Faulkner, Bonita L. McFarlane, Tara K. McGee

Bibliographic record

VenueEnvironmental Hazards · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsNatural Resources CanadaUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of CanadaInstitute for Catastrophic Loss Reduction
KeywordsGovernment (linguistics)Risk managementBusinessWildland–urban interfaceAttributionEnvironmental planningEnvironmental resource managementRisk perceptionPerceptionGeographyEnvironmental scienceFinancePsychology

Abstract

fetched live from OpenAlex

Few studies have examined the relationship between wildfire management by government agencies and homeowner wildfire risk mitigation. The goal of this paper is to compare perception of the wildfire risk, attribution of responsibility for mitigation, awareness of wildfire and mitigation, and adoption of wildfire mitigation activities among homeowners in towns where wildfire management activities have been completed by government (management group) and towns where no activities have been completed (no management group). Data were collected by mail survey of homeowners in six communities in Alberta, Canada during 2007. Results showed the people in the management group expressed higher levels of perceived risk and greater awareness of wildfire and mitigation than those in the no management group, but they did not attribute greater responsibility for mitigation to the homeowner nor complete more mitigation activities on their properties.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.068
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.224
Teacher spread0.220 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations30
Published2009
Admission routes3
Has abstractyes

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