Information on Late Tertiary and Quaternary deposits in
Bibliographic record
Abstract
the Washington Land area is extremely limited. This is perhaps surprising since, as a central part of Nares Strait separating Greenland and Canada, the Washington Land area is crucial to the understanding of the much debated Late Quaternary history of the region. Three shell sam-ples, two wood samples and a peat sample, collected in the mid 1970s, have been radiocarbon dated and discussed by Weidick (1977, 1978), Jepsen (1982), Blake (1987) and Bennike & Jepsen (in press); wood samples col-lected in 1997 were described by Bennike (1998). Much more information is available from Inglefield Land to the south, and Hall Land to the north (Nichols 1969; Dawes 1987; Blake et al. 1992; Kelly & Bennike 1992). Thus, when the opportunity to carry out field work in the Washington Land area arose in connection with the project Kane Basin 1999 (see Dawes 2000a, this volume), the chance was taken to attempt to fill this knowledge gap. The main aim was to locate the source of the wood – hope-fully within a sedimentary sequence. In addition, obser-vations and sampling of Quaternary deposits and landforms were planned. However, since the source of the wood proved impossible to locate, more time was spent on Quaternary deposits than originally expected.
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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 | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".