Inventorying rock glaciers and features of interest within the interior mountainranges of Alberta, Canada
Bibliographic record
Abstract
Investigated within this research is the distribution, characteristics, and dynamics of rock glaciers, as well as features of interests within the alpine periglacial environments of Alberta, in Western Canada. Features of interest inclusive in this initiative are debris-covered glaciers, relict rock glaciers still containing ice, solifluction lobes, protalus ramparts, and potential embryonic rock glaciers. Canada is a unique region as the current status of rock glacier conditions is sparse, the resolution and accuracy of previous investigations are low, and recent studies completed are limited. This inventory utilised free, high-resolution optical imagery available within base layers in QGIS, with supplementary datasets from Planet Labs and the National Air Photo Library in absence of clear images. Using a grid-base methodology, preliminary findings from this work reveal over 900 rock glaciers, alongside over 150 features of interest. In order to characterise the rock glaciers, the Rock Glacier Inventories and Kinematics (RGIK) guidelines were partially utilised, along with a separate method for delineation. In order to reduce subjectivity of upper boundary delineation of rock glacier complexes and units, as well as reduce mapper bias, a Flow Initiation Line (FIL) was implemented. The focus of this work is rock glaciers, although cataloguing their distribution with the aforementioned features of interest further enhances the suitability of this dataset for hazard mapping efforts and hydrological studies. This is a critical step in understanding and mitigating risks associated with permafrost degradation and slope instability in these regions. Especially given that a significant percentage of the area of the mountain ranges within Canada are home to national and provincial parks that have a copious number of anthropogenic activities. Findings from this research also serve as the first step toward the establishment of a Canadian rock glacier monitoring network, addressing a significant gap in national and global research.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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 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".