Elusive isotopic properties of deglacial meltwater spikes into the North Atlantic: example of the final drainage of Lake AgassizThis article is one of a series of papers published in the Special Issue on the theme <i>Polar Climate Stability Network</i>.
Bibliographic record
Abstract
The impact of the final drainage of Lake Agassiz, some 8.4 ka ago on the Atlantic Meridional Overturning Circulation is still debated. The lack of isotopic response in planktic foraminifer records at the outlet of the drainage channel constitutes a puzzling element in this debate. To estimate the response of the 18O–salinity relationship in ocean surface waters to drainage, we use a core raised from southeast Hudson Bay to document δ18O values of lake waters, immediately prior to drainage. Valves of Candona sp. (an ostracod) from lacustrine varved-sediments underlying marine clays, yielded δ18O values clustered around –20.5‰ (versus VPDB (Vienna PeeDee Belemnite)). Assuming a lake bottom temperature of about 0 °C, an isotopic composition of –25‰ (versus VSMOW (Vienna standard mean ocean water)) is calculated for paleolake waters, not unlike values reported for earlier stages of Lake Agassiz. This value is only slightly more negative than those estimated for Laurentide Ice Sheet (LIS) meltwaters during the last glacial maximum (∼ –21‰), or for the “apparent” freshwater end member diluting modern northwest Atlantic surface waters (–20.3‰ ± 0.4‰). The estimated ∼ –0.1‰ shift of the 18O–salinity relationship of ocean surface waters, in the salinity domain (>34) characterizing the only planktic foraminifer ( Neogloboquadrina pachyderma , Np) then abundant off the drainage outlet, seems barely distinguishable from background noise of Np δ18O records from such environments. Most other similar LIS deglacial events have probably not left any clear isotopic records in deep-sea cores from surrounding basins.
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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 | 0.000 | 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".