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Record W2799223512 · doi:10.47339/ephj.2020.19

A breath of fresh air

2020· article· en· W2799223512 on OpenAlexfundvenueno aff
Elly Tseng, Environmental Health BCIT School of Health Sciences, Dale Chen

Bibliographic record

VenueBCIT Environmental Public Health Journal · 2020
Typearticle
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsnot available
FundersBritish Columbia Institute of Technology
KeywordsSmokeEnvironmental healthSmoke inhalationAir quality indexPerceptionEnvironmental scienceRisk perceptionGeographyMeteorologyPsychologyMedicine

Abstract

fetched live from OpenAlex

Background In recent years, there have been an increasing number of wildfire events. The effects of global climate change play a big role in the severity and length of these wildfire events. Prolonged periods of wildfire smoke in the air can negatively impact health by causing respiratory distress and exacerbating pre-existing conditions. Many regions have implemented smoke mitigation methods like community clean air shelters, but risk perception can influence whether or not these methods are effectively used. The purpose of this study is to evaluate the risk perception of residents in British Columbia regarding wildfire smoke inhalation and smoke mitigation methods. Methods A survey was distributed to residents living in British Columbia to evaluate their risk perception of wildfire smoke and use of smoke mitigation methods. The online survey was created with Survey Monkey, distributed via Facebook, Twitter, and Reddit, and took approximately five minutes to complete. The results were collected in Microsoft Excel and analyzed with NCSS statistical software. Results Chi-square tests showed a significant association between gender and the risk perception of inhaling wildfire smoke, exercising outdoors during a smoke event, going outside during an air quality advisory, and the decision to find a clean air space during a smoke event. There were some associations with age and geographical region as well. Results showed that most people practice some form of smoke mitigation, such as staying indoors, seeking refuge in a clean air space, and using masks and/or portable air filters. Conclusions Based on the results, gender has a significant impact on risk perception of wildfire smoke inhalation. Other demographics, such as age, geographical region, education, and ethnicity, did not display many significant associations. This study also identified that participants may have conflicting views about the protectiveness of a surgical/cloth mask during a smoke event. Most participants practiced some form of smoke mitigation method, like staying indoors.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.070
Threshold uncertainty score0.235

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0700.021

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 head0.237
Teacher spread0.211 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2020
Admission routes2
Has abstractyes

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