Some Aspects of Studying the Wrangel Island’s Geology (Commentary to the Work “New Data on the Late Paleozoic Conglomerates of Wrangel Island and Their Geological Interpretation” by M.I. Tuchkova et al.)
Bibliographic record
Abstract
Abstract Critical remarks are given to the article “New data on the Late Paleozoic conglomerates of Wrangel Island and their geological interpretation” by M.I. Tuchkova et al. published in the Stratigraphy and Geological Correlation journal (vol. 33, no. 2. pp. 59–80, 2025). Doubts are expressed about using the ‘tectonostratigraphic units’ term in the geological mapping of the island instead of formations and strata. It is concluded that, in terms of paleogeography, the Late Paleozoic De Long basin had closer links with the Verkhoyansk‒Kolyma basins than with the Canadian Arctic ones.
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 | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.008 | 0.013 |
| Insufficient payload (model declined to judge) | 0.003 | 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".