NOAA/WDS Paleoclimatology - Sauchyn - Kuskula Creek - PCMA - ITRDB CANA341
Bibliographic record
Abstract
This study compared the hydroclimatic signals recorded in annually laminated (varved) sediments and tree rings within a small study area in the Selwyn Mountains of the southwestern Northwest Territories/southeastern Yukon Territory border region of Canada. The records were located immediately adjacent to each other and within 6 km of instrumental meteorological and hydrometric records, which permitted a detailed analysis of climate in the area from AD 1704 to 1996. This study explored the challenges of annually-resolved multi-proxy hydroclimate analyses and examined how best to interpret the climate record given the differences in proxy formation and the respective signals. The high-frequency (annual) variability from both proxies showed a good match for some parts of the record (e.g., mid-1700s and much of the 1900s) but revealed different sensitivities at other times (e.g., 1800s). However, both records contained a common low-frequency (decadal) summer climate signal. Glacier dynamics influenced varve formation through altered sediment availability during the inferred Little Ice Age (LIA) maximum ice stand in the catchment from AD 1778 to 1892 and subsequent recession after this maximum. As a result of reduced LIA sedimentation, July mean temperatures reconstructed from varve thickness during the 1800s were underestimated compared to the tree-ring estimates. Other instances of low-frequency divergence were apparent, particularly during parts of the twentieth century, despite the overall similarities. The extended varve record also provided a glacial history for the southern Selwyn Mountains, indicating probable glacier advances during AD 1300-1450 and AD 1600-1670, maximum ice stand during the 1800s, followed by twentieth-century recession.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.083 | 0.021 |
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".