Bibliographic record
Abstract
Modern pollen assemblages from lakes in the Canadian high-arctic and middle-arctic vegetation zones are used to document geographic differences in pollen deposition. There are differences in the pollen percentages of the herbaceous taxa that can be used to discriminate the various regions of the Arctic. High-arctic pollen assemblages have higher Poaceae, while middle-arctic sediments have higher Cyperaceae percentages. Pollen spectra from Banks Island contain higher percentages of Saxifragaceae, Brassicaceae, and Tubuliflorae, while lake sediments from the central Arctic contain more Ranunculaceae and Caryophyllaceae pollen. Salix and Oxyria pollen percentages are relatively high in samples from Ellesmere Island. Pollen from the low-arctic and boreal zones can comprise a significant component of the assemblages in arctic sediments, and this is more important in the southern islands of the Canadian Arctic Archipelago.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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; both teacher heads agree on what is shown here.
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".