Icings near the Tibbitt to Contwoyto Winter Road, Great Slave Uplands, Northwest Territories
Bibliographic record
Abstract
Icings were investigated near the Tibbitt to Contwoyto Winter Road (TCWR) to examine the relation of overflow timing to air and ground temperature, rainfall, snow accumulation, and the winter road.Icings developed before the end of freezeback by intermittent overflow of water from upstream lakes.Open-system freezing in saturated peat caused build-up of hydraulic pressure, leading to overflow.The active layer remained hydrologically active after the overflow period but hydraulic pressures, possibly related to the upstream lake, were insufficient to cause further icings.The duration of the overflow period and spatial extent were positively related to autumn rainfall.In addition, above average early winter air temperature and average early winter snowfall were important factors contributing to overflows at several portages noted in the TCWR maintenance records.Development of icings in the Canadian Shield thresholdmediated hydrological regime is dependent on basin catchment area and antecedent conditions.This thesis could not have been accomplished without the support of a myriad of individuals.First my supervisor, Chris Burn, for meeting with me regularly, keeping me on track, and helping me see that I have something to say.Meetings that never felt timeconstrained and often included a cup of tea and a couple of chocolate-covered digestives were deeply appreciated.My colleagues at the Geological Survey of Canada (GSC) were instrumental.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 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".