The Impact of the Final Lake Agassiz Flood Recorded in Northeast Newfoundland and Northern Scotian Shelves Based on Century-Scale Palynological Data
Bibliographic record
Abstract
Abrupt Climate C Geophysical Mon Copyright 2011 b 10.1029/2010GM Two high-resolution century-scale palynological records from the eastern Canadian margin were analyzed to estimate the impact of Lake Agassiz’s final drainage at circa 8.3 ka on sea surface conditions and to track the path of the meltwater plume. Core HU87033-19 from Notre Dame Channel on Northeast Newfoundland Shelf contains four distinct detrital carbonate (DC) beds, known to be sediment transported from Hudson Strait and Hudson Bay, and one layer is coeval with the drainage of Lake Agassiz. Within that DC layer, significant changes in dinoflagellate cyst assemblages indicate lower sea surface temperatures and salinity. The drop in salinity is a doublet, suggesting two episodes of meltwater drainage. Core HU84011-12, from St. Anne’s Basin, on the northern Scotian Shelf contains similar changes in dinoflagellate cyst assemblages at the time of the drainage, indicating sea surface cooling accompanied by a slight decrease in salinity. The impact of the meltwater was greater in the Notre Dame Channel. This suggests that most of the meltwater from the final drainages of Lake Agassiz flowed south over the Labrador and Northeast Newfoundland shelves and was not dispersed directly into the Labrador Sea. Instead, it was possibly dispersed into the slope water system and subsequently into the North Atlantic after flowing initially over the continental shelf. This is the first paper describing paleoecological data indicating the presence of the Agassiz meltwater along the eastern Canadian margin.
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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 | 0.001 | 0.001 |
| 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".