Risk Communication and Public Education in Edmonton, Alberta, Canada on the 10th Anniversary of the ‘Black Friday’ Tornado
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.
Bibliographic record
Abstract
In July 1997, on the 10th anniversary of the great ‘Black Friday’ Tornado, city officials of Edmonton, the print and broadcast media, agencies dealing in emergency management, and the national weather organisation recounted stories of the 1987, F5 tornado that struck Edmonton on a holiday weekend. The information campaign also presented environmental and educational information regarding a range of protective measures that should be adopted in the event of another tornado strike. A unique opportunity arose to study the effects of the 1997 risk communication campaign, and to assess the extent to which a random sample from the population of Edmonton heard, understood, believed, confirmed, and responded to the low-key, non-urgent, environmental and educational warning messages. These behaviours comprise the General Hazards Risk Communication Model that guided this study, as developed by Mileti, Sorensen, Haas, Blanchard-Boehm and others. We found the following explanatory variables to be statistically significant in predicting whether our survey respondents adopted protective measures towards future occurrences of tornadoes following the information campaign: (1) levels of perceived vulnerability to future occurrences; (2) past experiences with the 1987 tornado event; (3) presentation of new environmental and educational information in the 1997 campaign; and, (4) levels of formal education.
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 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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it