Northern Baffin Bay sediment core evidence for the spatio-temporal variability in the Holocene extent of Pikialasorsuaq (North Water Polynya) (2019-2024)
Bibliographic record
Abstract
This database is an extension of "Northern Baffin Bay sediment core evidence for Boothia-Lancaster Ice stream retreat from Last Glacial Maximum extent and for its role in the origin of Baffin Bay Detrital Carbonate (BBDC) Events 0, 1 and 2 (2019-2024)" (https://doi.org/10.18739/A2KD1QN3M), but it's focus is on cores farther east in northern Baffin Bay where Holocene sedimentation has been influenced both by opening of Nares Strait by deglaciation and by establishment of the North Water Polynya (NOW), also known as Pikialasorsuaq in the Kalaallisut language. Sediment cores were taken from the Canadian research vessel, CCGS Hudson, during cruise 2008029 (Campbell and De Vernal, 2009). A goal of our NSF-funded research is to study the history of the opening of two main western freshwater routes for Arctic-Atlantic throughflow from deglaciation onward (Parry Channel and Nares Strait) and how these channel openings influenced formation of the NOW using sediment cores both within and beyond the NOW. This database contains age-depth models, foraminifera assemblage data, diatom abundance estimates from Fourier Transform Infrared Spectroscopy (FTIR), mineralogy from quantitative X-ray diffraction analyses, and lipid biomarker distributions from cores 2008029-34PC (-71.418998 longitude, 76.32905 latitude, 696 meters water depth) and 2008029-42CC (-78.629571 longitude, 75.57939 latitude, 580 meters water depth). We also include lipid biomarker distributions from cores 2008029-49CC and 2008029-59CC, for which the remainder of sediment proxies are available in the BLIS database presented (https://doi.org/10.18739/A2KD1QN3M). However, we provide the previously published proxy data against a revised age-depth model in this database. This work builds on previous research on these cores by St Onge and St Onge (2014). The data from these cores has not yet been published although a manuscript is in preparation Harning et al. (in review).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| 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) | 0.006 | 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".