Last glacial-deglacial variability in sea surface characteristics and ice sheet activities in the Labrador Sea/Baffin Bay
Bibliographic record
Abstract
In the context of global warming, the accelerated melting of the Greenland Ice Sheet (GrIS) and Arctic sea ice in recent years has led to increased meltwater discharge and subsequent sea-level rise. The meltwater discharge may affect sea surface characteristics in the polar and subpolar regions and potentially yield significant influence on ocean circulation patterns. Additionally, the far-reaching implications of ocean forcings on ice sheet instability and sea ice retreat have also raised considerable attention. To enhance our understanding of the influences of meltwater discharge on abrupt climatic changes and interactions among ice sheet instability, sea ice variability, and sea surface characteristics, it is essential to investigate sedimentary records on different timescales beyond modern observation. To achieve these objectives, we conducted detailed paleoenvironmental reconstructions from three sediment cores: one obtained from the eastern Labrador Sea (Core MSM12/2-05-01) and two others from southern Baffin Bay (Core SL170 and SL174). This study provides new insights into variations in sea surface characteristics and their interactions with ice sheet activities in the Labrador Sea and Baffin Bay during the last glacial-deglacial-Holocene period. Meanwhile, our findings provide more information about the impact of freshwater forcing/ice sheet activities on abrupt climate changes. Furthermore, these findings highlight the significance of oceanic processes within the polar and subpolar regions and their contributions to paleoclimate changes.
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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".