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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.008 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".