Abbott 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 Abbott weather station located in Glacier National Park, British Columbia, Canada. It is divided into two subdatasets: an hourly dataset and a 10 minute based dataset. The station is used primarily for winter avalanche forecasting; therefore, it is deactivated during summer months. The usual recording period begins in early October and ends in late May. Parks Canada staff visit and maintain the station multiple times each winter, and instruments are repaired and calibrated during the summer when required. For more details, refer to the Data and File Overview section in this README. File names indicate whether the data represent hourly or 10 minute recordings, and include the first and last timestamps contained in 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 | 0.017 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.027 | 0.004 |
| Open science | 0.013 | 0.012 |
| Research integrity | 0.003 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 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