Symposium no. 21 Paper no. 838 Presentation: oral Northern circumpolar soil database and derived soil
Bibliographic record
Abstract
One of the largest projects on compiling of soil database and map of East and West Hemispheres has been completed. This database is named "The Northern Circumpolar Soil Database" (NCSD) and encompasses territories of the USA, Canada, Greenland, Northern Europe, Russia, Mongolia and East Kazakhstan. The NSCD was derived from numerous sources, but primarily national soil maps that used different classification systems and legends. The NCSD consists of both polygon and pedon database portions. A thorough correlation of all relevant classification systems (WRB, US, Canadian and Russian) was made. Using this database a set of four Northern Circumpolar Soil Maps was generated-in WRB, Soil Taxonomy, Canadian and Russian classification systems. The work on the development of the NCSD showed advantages and disadvantages of these classification systems. These maps are a solid basis for exchange of information on use of soil resources, on management of environmental problems, global modeling etc.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.304 | 0.160 |
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".