Utility of hyper-resolution Lidar as a tool for planetary geomorphology in the Canadian High Arctic, Lightning Talk (7 min)
Bibliographic record
Abstract
Permafrost underlies 50% of the Canada’s terrain and underlies 24% of the world land area. It is one of the major driving forces in the generation and evolution of patterned ground landforms (i.e. polygons, stone circles, mud boils, stripes, etc.) that are seen on both the surface of the Earth and other planetary bodies specifically in periglacial domains. The Canadian High Arctic, particularly Axel Heiberg Island (ᐅᒥᖕᒪᑦ ᓄᓈᑦ) and Devon Island (ᑕᓪᓗᕈᑎᑦ) are unique domains that host a variety of patterned ground landforms. Looking at these areas, we want to better understand the mechanisms and evolution of permafrost in the high arctic as well as quantify periglacial patterned ground geomorphology using GIS (i.e. KDE analysis, ArcGIS, CloudCompare). This research gives insight to periglacial landsystems and their significance not only for arctic and planetary analogue science, but also as a tool for hazard analysis and freshwater resources for communities in high arctic regions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".