Thaw front depth at the bottom, on the slopes and on the adjacent tundra polygons of two thermo-erosion gullies on Bylot Island, Nunavut, Canada
Bibliographic record
Abstract
This dataset presents thaw front depths (TFD) measurements made in two thermo-erosional gullies on Bylot Island, Nunavut, Canada, from probing to refusal with a graduated steel rod. The first gully, TEG1, formed in 1999 and is still active today (2024). The second gully, TEG2, is a gully that has been stabilized for at least 66 years. TFD was measured in 2017 from 13 June to 29 July, and in 2018 from 12 June to 16 August. Measurements were made every 2-3 days along transects of ~30 points (10 to 30 m in length) perpendicular to the TEG and averaged into three positions: 1) shoulder of the gully (the polygon directly adjacent to the gully), 2) gully slope, 3) gully stream.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".