Using Ground-penetrating Radar and Seismic Shothole Drillers’ Logs to Identify Massive Ice and Taliks in the Lower Mackenzie Corridor and the Colville Hills, Northwest Territories
Bibliographic record
Abstract
Understanding of the distribution of massive ice and near surface taliks on a regional scale can offer important insights into the geomorphology, hydrology and quaternary geology in regions underlain by permafrost. These features are poorly constrained within the lower Mackenzie Valley and in the Colville Hills, two areas with the potential for hydrocarbon extraction. This thesis used ground-penetrating radar to identify massive ice and taliks at two sites in the lower Arctic of the Northwest Territories. Lithostratigraphic data taken from shothole drillers’ logs at Little Chicago, in the lower Mackenzie Corridor, and Lac des Bois, in the Colville Hills, act as a complement to shallow geophysical surveying undertaken in March of 2009. Three occurrences of massive ice and one talik were identified at the two study sites. The combined effectiveness, and the limitations, of ground-penetrating and seismic shothole drillers’ logs were examined in this study.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".