Paleoclimate data from Melville Peninsula
Bibliographic record
Abstract
Sediment cores were collected from two lakes in the vicinity of Sarcpa Lake (68.55 degN; -83.28 deg W), inland Melville Peninsula, for reconstructing Holocene paleoclimate. Proxy indicators were analyzed from each sites, including loss-on-ignition, magnetic susceptibility, biogenic silica, and pollen and diatom assemblages. Cores were dated using 210Pb and 14C; the chronologies confirm the retreat of glacial ice by 6000 yr BP. The proxies provide a ~6300 year record of post-glacial vegetation, limnological and climate change. Fossil pollen assemblages, pollen accumulations rates, and variations in sediment organic matter, indicate a period of regional Holocene warmth between 5300-3900 yr BP, followed by Neoglacial cooling, as well as a period of relative warmth between 1300-1000 yr BP, interpreted as evidence for the Medieval Warm Period. Diatom records corroborate warmer summers in the middle Holocene, and Neoglacial cooling. Variations in pollen abundances and accumulations during the 20th century, as well as novel diatom assemblages, suggest a response to anthropogenic warming that is unprecedented since deglaciation of the Peninsula. Comparisons of the timing and rates of multi-scale climate variations for Melville Peninsula with adjacent sites reveal a potential late Holocene shift in the boundary separating continental and maritime climate regions in the eastern Canadian Arctic.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.007 |
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".