A revised late-Quaternary vegetation history of the unglaciated southwestern Yukon Territory, Canada, from Antifreeze and Eikland ponds
Bibliographic record
Abstract
Antifreeze Pond was thought to contain the oldest record of continuous environmental change in the southwestern Yukon. We have revised the original interpretation of the vegetation history of Antifreeze Pond and this region based on new pollen, stomate, and macrofossil analysis, along with 38 new accelerator mass spectrometry (AMS) 14 C dates from Antifreeze Pond and nearby Eikland Pond. Although the overall pattern of vegetation change is similar to the previously published Antifreeze Pond record, our new analysis indicates that the timing of the major vegetation shifts is substantially different, particularly during the late-glacial and early Holocene periods (from ∼17 000 – 9000 cal years BP). The original Antifreeze Pond record was thought to span a mid-Wisconsinan interstadial (>30 000 cal years BP) and the full-glacial period. Our results, however, indicate that the material of mid-Wisconsinan age was likely deposited by slumping around the pond making interpretation of the paleoenvironment difficult. Furthermore, our AMS 14 C dates show that what was thought to be a full-glacial vegetation record is actually the vegetation history of the late-glacial period (ca. 17 000 – 11 000 cal years BP), which was a time of rapid sediment deposition into the ponds. The Eikland Pond record has an early Holocene Populus rise between ca. 11 000 – 8000 cal years BP that is not present in either the new or original Antifreeze Pond records. This new interpretation of the vegetation history should aid comparisons to other regional paleoenvironmental records.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| 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".