Weather Awareness: On the Lookout for Wildfire in the Canadian Rocky Mountains
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
Mountains are crucial places in which to observe, experience, and learn about rapid weather and climate shifts, felt to varying degrees in different contexts. Fire lookout observers, immersed in the mountain environments of Alberta, Canada, for 5 to 6 months of the year, many of them returning to the same place for over 3 decades, have a distinctive and little-studied perspective on weather experience and how seasonal changes, sudden weather shifts, and subtle weather irregularities are experienced first-hand in alpine regions. Drawing on recent fieldwork in the Canadian Rocky Mountains, this article sheds light on fire lookout observers' awareness of mountain weather in their everyday lived experience and in their observations of wildfires as severe weather events. A focus on wildfire smoke as one way of experiencing wildfires allows us to touch on the implications of smoke dispersal for communities near to and far from wildfires.
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 | 0.004 | 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 | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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