Understanding the Effects of Climate Change in the Yukon River Basin through a Synergistic Research Approach
Bibliographic record
Abstract
Climatic warming in northern latitudes is resulting in a longer growing season, permafrost warming, thermokarst formation, enhanced glacier melting, and earlier ice breakup of lakes and rivers. The Yukon River Basin located in northwestern Canada and central Alaska has extensive permafrost of varying distribution and thickness that is degrading. The basin drains 854,700 km 2 and supports a population of approximately 126,000 people, 10 percent of which rely heavily on the basin’s fish and game resources for their subsistence or livelihood (Brabets et al. 2000). The 3,300-km-long Yukon River and its major tributaries also supply drinking water for towns and villages in the interior of Alaska and provide routes for travel by local residents and for migration by spawning salmon. Therefore, streamflow timing is important from both water resource management and ecologic sustainability perspectives. Recent findings indicate a shift in streamflow behavior toward increased flow during the winter months when the large streams are fed by groundwater, an earlier spring peak, and decreased flow during summer months when streams are fed predominately by surface water runoff. These shifts in streamflow timing may be attributed, in large part, to permafrost thawing and a deepened groundwater flow system. A trend analysis shows the proportion of groundwater to total annual discharge from the Yukon River Basin increasing by 0.9 percent per year over the past several decades (Walvoord and Striegl 2007). Groundwater is depleted in
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".