Petermann Expedition, Oden July 2015, marine core data for mineralogy, foraminifera and particle size, Greenland, 2019
Bibliographic record
Abstract
The overarching goal of this project was to study the Petermann Glacier/ice tongue system and its response to past climate changes, especially during the Holocene. This is a major outlet of the Greenland Ice Sheet and one of only a couple that terminates in a buttressing ice tongue. Its past sensitivity to changes in ocean and atmosphere temperature and sea level are important for predicting its response to modern and future warming. Our research focuses on reconstructing the extent of the Petermann Glacier during the LGM (Last Glacial Maximum), the timing, rate and style of ice retreat, and the role of ocean forcing, sea level variation and fjord morphology and interaction with other ice sheets and outlets in its past behavior. As a collaborative group, we use the geological and geophysical data collected during the July to Sept. 2015 cruise of icebreaker Oden (OD1507) to the Petermann Fjord and Hall Basin to accomplish our goals. The University of Colorado was responsible for developing certain basic aspects of stratigraphy and paleoceanography through the analyses of mineralogy, grain size and foraminiferal assemblages in sediment cores collected during OD1507 augmented by analysis existing sediment cores collected in 2001 on Canadian cruise 2001LSSL (Louis Saint Laurent). Three types of data are provided. 1. Quantitative X-ray mineralogy (qXRD) data in percentage form; 2. Particle size data processed for grain size parameters using Gradistat program; 3. Foraminiferal percentage and abundance data.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".