A breath of fresh air
Bibliographic record
Abstract
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".