Bibliographic record
Abstract
is known as a Quaternary palaeontologist, specializing in large mammals, but his contributions to the study of fossil invertebrates (mainly insects) were also great. He was a leader of a small informal scientific group and a member of large network of researchers who studied Beringia with a focus on stratigraphy and paleoenvironmental reconstructions. Different methods, including fossil invertebrate study, were used for these purposes. Sher considered insects to be the key group to develop our understudying of the non-analogue extinct steppe-tundra community. He was the initiator and designer of a digital database for Siberian Quaternary insects (QUINSIB). He applied the MCR method for climate reconstruction in Siberia and used insects for detailed stratigraphic correlations. A.V. Sher worked in both parts of Beringia: northern-east Siberia and Chukotka (Western Beringia) and Alaska and the Yukon (Eastern Beringia); he had the rare gift of being able to observe the whole picture. This issue of "Invertebrate Zoology" is dedicated to A. Sher's 80th anniversary.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".