Deriving paleo-perspectives on polar systems: Continued results from the 2012 Sawtooth Lake (Ellesmere Island) and 2015 Petermann (North Greenland) Expeditions
Bibliographic record
Abstract
Deriving paleo-perspectives on polar systems in so-called “last ice” regions of North Greenland and the High Canadian Arctic have been traditionally challenged by logistical/accessibility issues and paleo proxy (including chronology) limitations. Sea-ice retreat and proxy development are changing this paradigm, allowing the region to be mapped, materials collected, and paleo-records developed that provide new insights on the evolution of the region. Here we report on continued progress from the joint US/Swedish 2015 Petermann Expedition to North Greenland and the joint US/Canadian 2012 Sawtooth Lake Expedition to Ellesmere Island, where new developments in physical properties and chronology are changing our understanding of the region. Computed tomography, X-Ray fluorescence, ice-rafted debris counts, and the magnetic properties of specific particle size fractions constrain changes in depositional processes and sediment sources providing info on glacial retreat and advance and other environmental changes. While an improved understanding of the geomagnetic field supported by radiocarbon dating enables regional magnetic synchronization allowing Holocene ice sheet and environmental dynamics to be placed in the context of High Arctic climate evolution.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".