CoolinG oveR thE VicToria LAnd (GRETA): resolving the Ross Sea response to continental climate change during the last two millennia
Bibliographic record
Abstract
Recent evidence from ice cores revealed that between ca. 1.3-1.9 ky CE the Victoria Land (western Ross Sea, Antarctica) experienced an abrupt cooling. How this cooling affected the ocean and marine cryosphere is largely unknown. GRETA proposes to fill this knowledge gap using sedimentary archives to investigate the ocean´s response to this cooling event. Here, we present new high-resolution sedimentary sequences collected in the western Ross Sea (JOIDES basin) and compare our findings with existing Victoria Land Coast data (Edisto Inlet, Robertson Bay, Wood Bay). We use a multidisciplinary approach that includes micropaleontological analyses (diatom assemblages) and organic geochemical proxies (IPSO25, HBI III, organic carbon, carbon stable isotopes, RI-OH’). The overarching goal of this study is to reconstruct sea ice dynamics and water mass properties (sea surface temperature, water mass circulation, upwelling) during the last 2 ky BP in the Western Ross Sea. Finally, we will merge the information obtained from the marine domain with observations from ice cores and model data to provide new insights into the sub-millennial variability of atmosphere-ocean interactions.
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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 | 0.001 |
| Science and technology studies | 0.000 | 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".