Post Hoc Evaluation of Hazardous Weather: Snowstorms in the Montréal, Québec, Area in March 2008
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
Abstract The post hoc evaluation of meteorological events that have severe consequences for individuals, property, economic activities, and the environment is a powerful analytical tool. The paper provides a factual and evidence-based analytical framework for the study of hazardous weather events that have major social, economic, and environmental effects. It is a process that seeks to improve and to determine the relevance of services. The analysis of the winter storms that hit the Montréal area in early March 2008 examines the relationship between the storms, the collapse of 18 roofs, the death of 3 persons, and the closure of more than 200 schools. It highlights the limited perception of the risks associated with unusual and severe winter weather. It reveals the lack of attention given in meteorology to the important paradigmatic relationship that exists between the weather elements, the associated risk factors, and the ensuing impacts. This study reveals the need for improvements in meteorological services related to risk communication and knowledge management.
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 | 0.002 | 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) | 0.000 | 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