Avalanche observation datasets, Glacier National Park, British Columbia, Canada.
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
This dataset contains recordings and observation taken from the Glacier National Park avalanche forecasting operation. The dataset provides an extensive dataset on avalanche occurrence with information, such as, size and release type. This dataset is maintained by Parks Canada staff. Thus, no major changes were made to this dataset before publication, except uniformization of certain column and data type. It is also note worthy to understand that avalanche control is regularly done within this operation. Thus, the dataset is impacted by the control and stabilization of avalanche paths. For more details, please refer to the README file. The name of each file provide insight on the date of the first and last observation of each file.
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 | 0.023 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.009 |
| Science and technology studies | 0.016 | 0.002 |
| Scholarly communication | 0.042 | 0.005 |
| Open science | 0.018 | 0.019 |
| Research integrity | 0.003 | 0.013 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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