Mount Fidelity historical weather station 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 from the Fidelity weather station, located in Glacier National Park, B.-C., Canada. It is divided into two subdatasets; an hourly dataset, and a 10 minutes based dataset. The weather station is maintained by Parks Canada staff multiple time weekly during the winter. Note that the station is used primarily for winter avalanche forecasting; thus station maintenance is primarily done over the winter. However, the station is also maintained once a week during the summer. For more details, please refer to the “Data & File Overview” section in the README. The name of each file provide insight on if the data is an hourly or 10 minutes recording, and the date provide the first and last recording 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 | 0.021 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.024 | 0.004 |
| Open science | 0.012 | 0.013 |
| Research integrity | 0.003 | 0.012 |
| 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