North‐eastern Laurentide, western Greenland and southern Innuitian ice stream dynamics during the last glacial cycle
Bibliographic record
Abstract
ABSTRACT Precise relationships between high‐frequency ice sheet dynamics and late Quaternary climate variability are still poorly understood, notably with regard to their relative timing and causal mechanisms. Baffin Bay is of particular interest in this regard due to the influence of ice streaming activities from the north‐eastern Laurentide, southern Innuitian and western Greenland ice margins on its sedimentary regimes during glacial times. Here we document such ice margin dynamics using a sedimentological analysis performed on a piston core from central Baffin Bay and spanning the last 115 ka. Lithofacies analysis and mineralogical assemblages are used to reconstruct sediment sources (using the SedUnMix program) and depositional mechanisms. Coarse detrital carbonate (DC, dolomite‐rich) layers are attributed either to north‐eastern Laurentide and Innuitian ice stream surges or to pervasive ice rafted debris delivery processes at distinct periods. Out‐of‐phase fine‐grained glaciomarine sediments with a mineralogical signature from western Greenland, linked to Uummannaq ice streaming activity, are interbedded with the coarse DC layers. The new results suggest that during the last glacial cycle, the north‐eastern Laurentide and southern Innuitian ice streams were sensitive to high‐frequency climate fluctuations, such as the Dansgaard–Oeschger events, while the western Greenland margins were more sensitive to large‐scale climatic/oceanic reorganizations, such as relative sea‐level changes and/or advection of warmer Atlantic waters into the bay.
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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 | 0.000 | 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".