Environmental change in Yellowknife Bay, Northwest Territories, over the last two centuries inferred through diatom paleolimnological analysis
Bibliographic record
Abstract
Great Slave Lake is one of the largest subarctic lakes in the world and the deepest lake in Canada.The duration and strength of thermal stratification is increasing in many subarctic lakes across the northern hemisphere, but little information is available for larger and deeper systems such as Great Slave Lake.This thesis uses paleolimnological techniques to investigate ecological changes occurring in Yellowknife Bay, Great Slave Lake, over approximately the last two centuries based on diatom and Chla analysis of a dated sediment core.The results of this thesis showed a sharp increase in the relative abundance of the smaller planktonic Discostella stelligera from <10% to ~25% diatoms and a decline in heavier Aulacoseira sp.These data suggest that over the last ~two centuries thermal stratification is increasing in Yellowknife Bay with potentially important ecological consequences for this large subarctic lake.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".