Millennial and Centennial-Scale Hydrological Change in the Central Interior of BC, Canada: A Multi-Proxy Reconstruction of Holocene Climate From Felker Lake
Bibliographic record
Abstract
Introduction Paleoclimate records from the North Atlantic region suggest that the abrupt climate changes that characterized the last deglaciation have persisted into the Holocene Epoch as lower amplitude and less severe events (e.g., the ~1500-year Bond Cycle; Bond et al. 2001). Recent paleoecological evidence raises the possibility that Holocene millennial-to-centennial scale climate cycles observed in the North Atlantic are also pervasive in North America where they are manifested as hydrological changes (Springer et al. 2008). For example, the ca. 1,470 ± 500-year Bond Cycle of ice drift in the North Atlantic is recognized as changes in stable isotopes and strontium in a 7000-year stalagmite record from West Virginia (Springer et al. 2008), and may be a harmonic of the ca. 2440-year drought cycle recognized at Big Lake, central British Columbia (BC; Cumming et al. 2002). Centennial-scale cycles, such as the ca. 400 to 650-year quasi-cycle of sea-ice formation and storminess along the shelf of the Barents Sea (Sarnthein et al. 2003) is similar to the ca. 400-year cycle of aridity and windiness documented in the Great Plains of North America (Dean 1997; Yu and Ito 1996).
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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 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".